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Jyrki Wallenius

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Pekka Malo & Ankur Sinha & Pyry Takala & Pekka Korhonen & Jyrki Wallenius, 2013. "Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts," Papers 1307.5336, arXiv.org, revised Jul 2013.

    Cited by:

    1. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2019. "Media-expressed tone, Option Characteristics, and Stock Return Predictability," IRTG 1792 Discussion Papers 2019-015, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2018. "Textual Sentiment, Option Characteristics, and Stock Return Predictability," IRTG 1792 Discussion Papers 2018-023, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    3. Travis Adams & Andrea Ajello & Diego Silva & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Papers 2305.16164, arXiv.org.
    4. Paola Cerchiello & Giancarlo Nicola, 2017. "Assessing News Contagion in Finance," DEM Working Papers Series 139, University of Pavia, Department of Economics and Management.
    5. Paola Cerchiello & Giancarlo Nicola & Samuel Rönnqvist & Peter Sarlin, 2017. "Deep Learning Bank Distress from News and Numerical Financial Data," DEM Working Papers Series 140, University of Pavia, Department of Economics and Management.
    6. Neng Wang & Hongyang Yang & Christina Dan Wang, 2023. "FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets," Papers 2310.04793, arXiv.org, revised Nov 2023.
    7. Boyu Zhang & Hongyang Yang & Tianyu Zhou & Ali Babar & Xiao-Yang Liu, 2023. "Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models," Papers 2310.04027, arXiv.org, revised Nov 2023.
    8. Chandan Singh & Armin Askari & Rich Caruana & Jianfeng Gao, 2023. "Augmenting interpretable models with large language models during training," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Ankur Sinha & Satishwar Kedas & Rishu Kumar & Pekka Malo, 2022. "SEntFiN 1.0: Entity‐aware sentiment analysis for financial news," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1314-1335, September.
    10. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
    11. Jozef Barunik & Cathy Yi-Hsuan Chen & Jan Vecer, 2019. "Sentiment-Driven Stochastic Volatility Model: A High-Frequency Textual Tool for Economists," Papers 1906.00059, arXiv.org.
    12. Yong Xie & Dakuo Wang & Pin-Yu Chen & Jinjun Xiong & Sijia Liu & Sanmi Koyejo, 2022. "A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions," Papers 2205.01094, arXiv.org, revised Jul 2022.
    13. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    14. Tingsong Jiang & Andy Zeng, 2023. "Financial sentiment analysis using FinBERT with application in predicting stock movement," Papers 2306.02136, arXiv.org.
    15. Asier Guti'errez-Fandi~no & Miquel Noguer i Alonso & Petter Kolm & Jordi Armengol-Estap'e, 2021. "FinEAS: Financial Embedding Analysis of Sentiment," Papers 2111.00526, arXiv.org, revised Nov 2021.
    16. Bledar Fazlija & Pedro Harder, 2022. "Using Financial News Sentiment for Stock Price Direction Prediction," Mathematics, MDPI, vol. 10(13), pages 1-20, June.
    17. David M. Goldberg & Nohel Zaman & Arin Brahma & Mariano Aloiso, 2022. "Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 419-437, March.
    18. Andrea Ajello & Diego Silva & Travis Adams & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Finance and Economics Discussion Series 2023-034, Board of Governors of the Federal Reserve System (U.S.).
    19. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    20. Xiao-Yang Liu & Guoxuan Wang & Hongyang Yang & Daochen Zha, 2023. "FinGPT: Democratizing Internet-scale Data for Financial Large Language Models," Papers 2307.10485, arXiv.org, revised Nov 2023.
    21. Borchert, Philipp & Coussement, Kristof & De Weerdt, Jochen & De Caigny, Arno, 2024. "Industry-sensitive language modeling for business," European Journal of Operational Research, Elsevier, vol. 315(2), pages 691-702.
    22. Haavio, Markus & Heikkinen, Joni & Jalasjoki, Pirkka & Kilponen, Juha & Paloviita, Maritta & Vänni, Ilona, 2024. "Reading between the lines: Uncovering asymmetry in the central bank loss function," Bank of Finland Research Discussion Papers 6/2024, Bank of Finland.
    23. Agam Shah & Arnav Hiray & Pratvi Shah & Arkaprabha Banerjee & Anushka Singh & Dheeraj Eidnani & Sahasra Chava & Bhaskar Chaudhury & Sudheer Chava, 2024. "Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis," Papers 2402.11728, arXiv.org, revised Oct 2024.
    24. Wehrheim, Lino, 2021. "The sound of silence: On the (in)visibility of economists in the media," Working Papers 30, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    25. Mantas Lukauskas & Vaida Pilinkienė & Jurgita Bruneckienė & Alina Stundžienė & Andrius Grybauskas & Tomas Ruzgas, 2022. "Economic Activity Forecasting Based on the Sentiment Analysis of News," Mathematics, MDPI, vol. 10(19), pages 1-22, September.
    26. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," LSE Research Online Documents on Economics 122592, London School of Economics and Political Science, LSE Library.
    27. Abdollahi, Hooman & Fjesme, Sturla L. & Sirnes, Espen, 2024. "Measuring market volatility connectedness to media sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    28. Agam Shah & Sudheer Chava, 2023. "Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks," Papers 2305.16633, arXiv.org.
    29. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
    30. Priyank Sonkiya & Vikas Bajpai & Anukriti Bansal, 2021. "Stock price prediction using BERT and GAN," Papers 2107.09055, arXiv.org.
    31. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    32. Alex Kim & Sangwon Yoon, 2023. "Corporate Bankruptcy Prediction with Domain-Adapted BERT," Papers 2312.03194, arXiv.org.
    33. Sinha, Ankur & Kedas, Satishwar & Kumar, Rishu & Malo, Pekka, 2019. "Buy, Sell or Hold: Entity-Aware Classification of Business News," IIMA Working Papers WP 2019-04-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    34. Yuqi Nie & Yaxuan Kong & Xiaowen Dong & John M. Mulvey & H. Vincent Poor & Qingsong Wen & Stefan Zohren, 2024. "A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges," Papers 2406.11903, arXiv.org.
    35. Bommes, Elisabeth & Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl, 2018. "Textual Sentiment and Sector specific reaction," IRTG 1792 Discussion Papers 2018-043, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    36. Yi Yang & Yixuan Tang & Kar Yan Tam, 2023. "InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning," Papers 2309.13064, arXiv.org.
    37. Paola Cerchiello & Giancarlo Nicola, 2018. "Assessing News Contagion in Finance," Econometrics, MDPI, vol. 6(1), pages 1-19, February.
    38. Jean Lee & Nicholas Stevens & Soyeon Caren Han & Minseok Song, 2024. "A Survey of Large Language Models in Finance (FinLLMs)," Papers 2402.02315, arXiv.org.
    39. Boyu Zhang & Hongyang Yang & Xiao-Yang Liu, 2023. "Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models," Papers 2306.12659, arXiv.org.
    40. Runmei Luo & Yong Ye, 2024. "Pressure from words: The tone of investors in Chinese earnings communication conferences and managerial myopia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 833-868, March.
    41. Leippold, Markus, 2023. "Sentiment spin: Attacking financial sentiment with GPT-3," Finance Research Letters, Elsevier, vol. 55(PB).
    42. Thomas R. Cook & Sophia Kazinnik & Anne Lundgaard Hansen & Peter McAdam, 2023. "Evaluating Local Language Models: An Application to Bank Earnings Calls," Research Working Paper RWP 23-12, Federal Reserve Bank of Kansas City.
    43. Duygu Ider & Stefan Lessmann, 2022. "Forecasting Cryptocurrency Returns from Sentiment Signals: An Analysis of BERT Classifiers and Weak Supervision," Papers 2204.05781, arXiv.org, revised Mar 2023.
    44. Moritz Scherrmann, 2023. "Multi-Label Topic Model for Financial Textual Data," Papers 2311.07598, arXiv.org.
    45. Raeid Saqur & Ken Kato & Nicholas Vinden & Frank Rudzicz, 2024. "NIFTY Financial News Headlines Dataset," Papers 2405.09747, arXiv.org.
    46. Qianqian Xie & Dong Li & Mengxi Xiao & Zihao Jiang & Ruoyu Xiang & Xiao Zhang & Zhengyu Chen & Yueru He & Weiguang Han & Yuzhe Yang & Shunian Chen & Yifei Zhang & Lihang Shen & Daniel Kim & Zhiwei Liu, 2024. "Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications," Papers 2408.11878, arXiv.org.

  2. J. Teich & H. Wallenius & J. Wallenius, 1998. "Multiple Issue Action and Market Algorithms for the World Wide Web," Working Papers ir98109, International Institute for Applied Systems Analysis.

    Cited by:

    1. Houssein Ben-Ameur & Brahim Chaib-draa & Peter Kropf, 2002. "Multi-item Auctions for Automatic Negotiation," CIRANO Working Papers 2002s-68, CIRANO.

  3. P. Korhonen & R. Tainio & J. Wallenius, 1998. "Value Efficiency Analysis of Academic Research," Working Papers ir98032, International Institute for Applied Systems Analysis.

    Cited by:

    1. Kerstin Pull & Birgit Pferdmenges & Uschi Backes-Gellner, 2017. "Do Research Training Groups Operate at Optimal Size?," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(2), pages 129-145, May.
    2. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.
    3. Xiaojun Hu, 2007. "Relative Superiority Coefficient of papers: A new dimension for institutional research performance in different fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 389-402, September.
    4. Wen-Chi Hung & Ling-Chu Lee & Min-Hua Tsai, 2009. "An international comparison of relative contributions to academic productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 703-718, December.
    5. Jesús A. Tapia & Bonifacio Salvador, 2022. "Data envelopment analysis efficiency in the public sector using provider and customer opinion: An application to the Spanish health system," Health Care Management Science, Springer, vol. 25(2), pages 333-346, June.
    6. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.
    7. Tavana, Madjid & Ebrahimnejad, Ali & Santos-Arteaga, Francisco J. & Mansourzadeh, Seyed Mehdi & Matin, Reza Kazemi, 2018. "A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 70-89.
    8. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    9. Young-Don Cho & Hoo-Gon Choi, 2013. "Principal parameters affecting R&D exploitation of nanotechnology research: a case for Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 881-899, September.
    10. Marshall, Elizabeth & Shortle, James, 2005. "Using DEA and VEA to Evaluate Quality of Life in the Mid-Atlantic States," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 185-203, October.
    11. Lee, Jun Gon & Park, Min Jae, 2020. "Evaluation of technological competence and operations efficiency in the defense industry: The strategic planning of South Korea," Evaluation and Program Planning, Elsevier, vol. 79(C).
    12. Guironnet, Jean-Pascal & Peypoch, Nicolas, 2018. "The geographical efficiency of education and research: The ranking of U.S. universities," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 44-55.
    13. Liu, W.B. & Zhang, D.Q. & Meng, W. & Li, X.X. & Xu, F., 2011. "A study of DEA models without explicit inputs," Omega, Elsevier, vol. 39(5), pages 472-480, October.
    14. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the most preferred solution in value efficiency analysis," Journal of Productivity Analysis, Springer, vol. 58(2), pages 203-220, December.
    15. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    16. Lee, Hakyeon & Shin, Juneseuk, 2014. "Measuring journal performance for multidisciplinary research: An efficiency perspective," Journal of Informetrics, Elsevier, vol. 8(1), pages 77-88.
    17. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2010. "An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency," EERI Research Paper Series EERI_RP_2010_17, Economics and Econometrics Research Institute (EERI), Brussels.
    18. BERBEGAL MIRABENT, Jasmina & SOLÉ PARELLADA, Francesc, 2012. "What Are We Measuring When Evaluating Universities’ Efficiency?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
    19. Zhang, Daqun & Banker, Rajiv D. & Li, Xiaoxuan & Liu, Wenbin, 2011. "Performance impact of research policy at the Chinese Academy of Sciences," Research Policy, Elsevier, vol. 40(6), pages 875-885, July.
    20. Mad Ithnin Salleh & Shariffah Nur Illiana Syed Ismail & Nurul Fadly Habidin & Nor Azrin Md Latip, 2016. "Efficiency and Productivity Changes of the Malaysian Community Colleges," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(12), pages 407-424, December.
    21. Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    22. Casu, B. & Thanassoulis, E., 2006. "Evaluating cost efficiency in central administrative services in UK universities," Omega, Elsevier, vol. 34(5), pages 417-426, October.
    23. Lu, Wen-Min, 2012. "Intellectual capital and university performance in Taiwan," Economic Modelling, Elsevier, vol. 29(4), pages 1081-1089.
    24. Joro, Tarja & Korhonen, Pekka & Zionts, Stanley, 2003. "An interactive approach to improve estimates of value efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 149(3), pages 688-699, September.
    25. Førsund, Finn R., 2017. "Measuring effectiveness of production in the public sector," Omega, Elsevier, vol. 73(C), pages 93-103.
    26. Cinzia Daraio & Leopold Simar, 2014. "Efficiency and benchmarking with directional distances. A data driven approach," DIAG Technical Reports 2014-07, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    27. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    28. Panagiotis Ravanos & Giannis Karagiannis, 2023. "On VEA, production trade-offs and weights restrictions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2081-2093, October.
    29. Jiménez, Fernando & Zabala Iturriagagoitia, Jon Mikel & Zofío, José Luis, 2007. "Efficiency in Public Research Centers: Evaluating the Spanish Food Technology Program," Working Papers in Economic Theory 2007/04, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    30. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    31. Panagiotis Ravanos & Giannis Karagiannis, 2020. "Using VEA to assess effectiveness in the development of human capabilities," Discussion Paper Series 2020_03, Department of Economics, University of Macedonia, revised May 2020.
    32. Cristhian Fabián Ruiz & Ricardo Bonilla & Diego Chavarro & Luis Antonio Orozco & Roberto Zarama & Xavier Polanco, 2010. "Efficiency measurement of research groups using Data Envelopment Analysis and Bayesian networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 711-721, June.
    33. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    34. Amir Arjomandi & Mad Ithnin Salleh & Abbas Mohammadzadeh, 2015. "Measuring productivity change in higher education: an application of Hicks–Moorsteen total factor productivity index to Malaysian public universities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 630-643, October.
    35. Cherchye, L. & Abeele, P. Vanden, 2005. "On research efficiency: A micro-analysis of Dutch university research in Economics and Business Management," Research Policy, Elsevier, vol. 34(4), pages 495-516, May.
    36. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    37. Franceschini, Fiorenzo & Maisano, Domenico A., 2010. "Analysis of the Hirsch index's operational properties," European Journal of Operational Research, Elsevier, vol. 203(2), pages 494-504, June.
    38. Fandel, Gunter & Gal, Tomas, 2001. "Redistribution of funds for teaching and research among universities: The case of North Rhine-Westphalia," European Journal of Operational Research, Elsevier, vol. 130(1), pages 111-120, April.
    39. Gimenez, Victor M. & Martinez, Jose Luis, 2006. "Cost efficiency in the university: A departmental evaluation model," Economics of Education Review, Elsevier, vol. 25(5), pages 543-553, October.
    40. Ahti Salo & Antti Punkka, 2011. "Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis," Management Science, INFORMS, vol. 57(1), pages 200-214, January.
    41. Yongbo Li & Amir-Reza Abtahi & Mahya Seyedan, 2019. "Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry," Annals of Operations Research, Springer, vol. 275(2), pages 461-484, April.
    42. Giannis Karagiannis & Panagiotis Ravanos, 2023. "On Value Efficiency Analysis and Cone-Ratio Data Envelopment Analysis models," Discussion Paper Series 2023_03, Department of Economics, University of Macedonia, revised Mar 2023.
    43. Lee, Hakyeon & Park, Yongtae & Choi, Hoogon, 2009. "Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach," European Journal of Operational Research, Elsevier, vol. 196(3), pages 847-855, August.
    44. Renato A. Villano & Carolyn‐Dung T. T. Tran, 2021. "Survey on technical efficiency in higher education: A meta‐fractional regression analysis," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 110-135, February.
    45. Martin Ricker, 2015. "A numerical algorithm with preference statements to evaluate the performance of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 191-212, April.
    46. André Klevenhusen & Jonas Coelho & Leo Warszawski & Jorge Moreira & Peter Wanke & João J. Ferreira, 2021. "Innovation Efficiency in OECD Countries: a Non-parametric Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1064-1078, September.
    47. Muhammad Dimyati & Adhi Indra Hermanu, 2023. "Evaluating Research Efficiency in Indonesian Higher Education Institution," Evaluation Review, , vol. 47(2), pages 155-181, April.
    48. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    49. G. Thomas Sav, 2013. "Effects of Financial Source Dependency on Public University Operating Efficiencies: Data Envelopment Single-Stage and Tobit Two-Stage Evaluations," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 63-73, February.
    50. Camanho, Ana Santos & Silva, Maria Conceicao & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2024. "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 315(1), pages 1-18.
    51. Räty, Tarmo & Bondas, Micke, 2008. "A Publication Activity Model for Finnish Universities," Discussion Papers 448, VATT Institute for Economic Research.
    52. Alcaide-López-de-Pablo, David & Dios-Palomares, Rafaela & Prieto, Ángel M., 2014. "A new multicriteria approach for the analysis of efficiency in the Spanish olive oil sector by modelling decision maker preferences," European Journal of Operational Research, Elsevier, vol. 234(1), pages 241-252.
    53. Caballero, Rafael & Galache, Teodoro & Gomez, Trinidad & Molina, Julian & Torrico, Angel, 2004. "Budgetary allocations and efficiency in the human resources policy of a university following multiple criteria," Economics of Education Review, Elsevier, vol. 23(1), pages 67-74, February.
    54. Özgür Özpeynirci & Murat Köksalan, 2007. "Performance evaluation using data envelopment analysis in the presence of time lags," Journal of Productivity Analysis, Springer, vol. 27(3), pages 221-229, June.
    55. Pekka Korhonen & Margareta Soismaa & Aapo Siljamäki, 2002. "On the Use of Value Efficiency Analysis and Some Further Developments," Journal of Productivity Analysis, Springer, vol. 17(1), pages 49-64, January.
    56. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    57. Tangian, Andranik, 2004. "Redistribution of university budgets with respect to the status quo," European Journal of Operational Research, Elsevier, vol. 157(2), pages 409-428, September.
    58. Meng, Wei & Zhang, Daqun & Qi, Li & Liu, Wenbin, 2008. "Two-level DEA approaches in research evaluation," Omega, Elsevier, vol. 36(6), pages 950-957, December.
    59. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    60. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    61. J Mingers & W Liu & W Meng, 2009. "Using SSM to structure the identification of inputs and outputs in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 168-179, February.
    62. García-Valderrama, Teresa & Mulero-Mendigorri, Eva & Revuelta-Bordoy, Daniel, 2009. "Relating the perspectives of the balanced scorecard for R&D by means of DEA," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1177-1189, August.
    63. Fandel, Gunter, 2007. "On the performance of universities in North Rhine-Westphalia, Germany: Government's redistribution of funds judged using DEA efficiency measures," European Journal of Operational Research, Elsevier, vol. 176(1), pages 521-533, January.

  4. M. Halme & T. Joro & P. Korhonen & S. Salo & J. Wallenius, 1998. "Value Efficiency Analysis for Incorporating Preference Information in Data Envelopment Analysis," Working Papers ir98054, International Institute for Applied Systems Analysis.

    Cited by:

    1. Halme, Merja & Korhonen, Pekka, 2000. "Restricting weights in value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 126(1), pages 175-188, October.
    2. Marshall, Elizabeth & Shortle, James, 2005. "Using DEA and VEA to Evaluate Quality of Life in the Mid-Atlantic States," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 185-203, October.
    3. P. Korhonen & A. Siljamaeki & M. Soismaa, 1998. "Practical Aspects of Value Efficiency Analysis," Working Papers ir98042, International Institute for Applied Systems Analysis.
    4. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2010. "An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency," EERI Research Paper Series EERI_RP_2010_17, Economics and Econometrics Research Institute (EERI), Brussels.
    5. Peter Bogetoft & Kurt Nielsen, 2005. "Internet Based Benchmarking," Group Decision and Negotiation, Springer, vol. 14(3), pages 195-215, May.
    6. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(4), pages 442-471, December.
    7. Peter Bogetoft & Jens Hougaard, 2003. "Rational Inefficiencies," Journal of Productivity Analysis, Springer, vol. 20(3), pages 243-271, November.
    8. M. Halme & T. Joro & M. Koivu, 1998. "Dealing with Interval Scale Data in Data Envelopment Analysis," Working Papers ir98112, International Institute for Applied Systems Analysis.
    9. Inha Oh & Jeong-Dong Lee & Seogwon Hwang & Almas Heshmati, 2010. "Analysis of product efficiency in the Korean automobile market from a consumer’s perspective," Empirical Economics, Springer, vol. 38(1), pages 119-137, February.
    10. P. Korhonen & R. Tainio & J. Wallenius, 1998. "Value Efficiency Analysis of Academic Research," Working Papers ir98032, International Institute for Applied Systems Analysis.
    11. Jiménez, Fernando & Zabala Iturriagagoitia, Jon Mikel & Zofío, José Luis, 2007. "Efficiency in Public Research Centers: Evaluating the Spanish Food Technology Program," Working Papers in Economic Theory 2007/04, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    12. T. Joro & E-J. Viitala, 1999. "The Efficiency of Public Forestry Organizations: A Comparison of Different Weight Restriction Approaches," Working Papers ir99059, International Institute for Applied Systems Analysis.
    13. Walter Briec & Hervé Leleu, 2003. "Dual Representations of Non-Parametric Technologies and Measurement of Technical Efficiency," Journal of Productivity Analysis, Springer, vol. 20(1), pages 71-96, July.
    14. Özgür Özpeynirci & Murat Köksalan, 2007. "Performance evaluation using data envelopment analysis in the presence of time lags," Journal of Productivity Analysis, Springer, vol. 27(3), pages 221-229, June.
    15. T. Joro, 1998. "Models for Identifying Target Units in Data Envelopment Analysis: Comparison and Extension," Working Papers ir98055, International Institute for Applied Systems Analysis.
    16. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.

Articles

  1. Sinha, Ankur & Korhonen, Pekka & Wallenius, Jyrki & Deb, Kalyanmoy, 2014. "An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls," European Journal of Operational Research, Elsevier, vol. 233(3), pages 674-688.

    Cited by:

    1. Sami Mnasri & Nejah Nasri & Malek Alrashidi & Adrien Bossche & Thierry Val, 2020. "IoT networks 3D deployment using hybrid many-objective optimization algorithms," Journal of Heuristics, Springer, vol. 26(5), pages 663-709, October.
    2. Kadziński, Miłosz & Tervonen, Tommi & Tomczyk, Michał K. & Dekker, Rommert, 2017. "Evaluation of multi-objective optimization approaches for solving green supply chain design problems," Omega, Elsevier, vol. 68(C), pages 168-184.
    3. Yadav, Deepanshu & Nagar, Deepak & Ramu, Palaniappan & Deb, Kalyanmoy, 2023. "Visualization-aided multi-criteria decision-making using interpretable self-organizing maps," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1183-1200.

  2. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2013. "On ratio-based RTS determination: An extension," European Journal of Operational Research, Elsevier, vol. 231(1), pages 242-243.

    Cited by:

    1. Alirezaee, Mohammadreza & Hajinezhad, Ensie & Paradi, Joseph C., 2018. "Objective identification of technological returns to scale for data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 266(2), pages 678-688.

  3. Korhonen, Pekka J. & Silvennoinen, Kari & Wallenius, Jyrki & Öörni, Anssi, 2012. "Can a linear value function explain choices? An experimental study," European Journal of Operational Research, Elsevier, vol. 219(2), pages 360-367.

    Cited by:

    1. Pereira, Miguel Alves & Figueira, José Rui & Marques, Rui Cunha, 2020. "Using a Choquet integral-based approach for incorporating decision-maker’s preference judgments in a Data Envelopment Analysis model," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1016-1030.
    2. Pham, Long & Teich, Jeffrey & Wallenius, Hannele & Wallenius, Jyrki, 2015. "Multi-attribute online reverse auctions: Recent research trends," European Journal of Operational Research, Elsevier, vol. 242(1), pages 1-9.
    3. Beccacece, Francesca & Borgonovo, Emanuele & Buzzard, Greg & Cillo, Alessandra & Zionts, Stanley, 2015. "Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions," European Journal of Operational Research, Elsevier, vol. 246(2), pages 517-527.
    4. Deparis, Stéphane & Mousseau, Vincent & Öztürk, Meltem & Huron, Caroline, 2015. "The effect of bi-criteria conflict on matching-elicited preferences," European Journal of Operational Research, Elsevier, vol. 242(3), pages 951-959.
    5. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    6. Luis C. Dias & Gabriela D. Oliveira & Paula Sarabando, 2021. "Choice-based preference disaggregation concerning vehicle technologies," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 177-200, March.
    7. Pajala, Tommi & Korhonen, Pekka & Wallenius, Jyrki, 2017. "Road to robust prediction of choices in deterministic MCDM," European Journal of Operational Research, Elsevier, vol. 259(1), pages 229-235.

  4. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2011. "Ratio-based RTS determination in weight-restricted DEA models," European Journal of Operational Research, Elsevier, vol. 215(2), pages 431-438, December.

    Cited by:

    1. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    2. Victor V. Podinovski & Robert G. Chambers & Kazim Baris Atici & Iryna D. Deineko, 2016. "Marginal Values and Returns to Scale for Nonparametric Production Frontiers," Operations Research, INFORMS, vol. 64(1), pages 236-250, February.
    3. Toshiyuki Sueyoshi & Ruchuan Zhang & Aijun Li, 2023. "Measuring and Analyzing Operational Efficiency and Returns to Scale in a Time Horizon: Assessment of China’s Electricity Generation & Transmission at Provincial Levels," Energies, MDPI, vol. 16(2), pages 1-23, January.
    4. Amin Mostafaee & Majid Soleimani-Damaneh, 2016. "Some Conditions for Characterizing Anchor Points," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(02), pages 1-17, April.
    5. Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
    6. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2013. "On ratio-based RTS determination: An extension," European Journal of Operational Research, Elsevier, vol. 231(1), pages 242-243.
    7. Alirezaee, Mohammadreza & Hajinezhad, Ensie & Paradi, Joseph C., 2018. "Objective identification of technological returns to scale for data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 266(2), pages 678-688.

  5. Köksalan, Murat & Büyükbasaran, Tayyar & Özpeynirci, Özgür & Wallenius, Jyrki, 2010. "A flexible approach to ranking with an application to MBA Programs," European Journal of Operational Research, Elsevier, vol. 201(2), pages 470-476, March.

    Cited by:

    1. Nasrabadi, Nasim & Dehnokhalaji, Akram & Korhonen, Pekka & Lokman, Banu & Wallenius, Jyrki, 2022. "Robustness of efficiency scores in data envelopment analysis with interval scale data," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1151-1161.
    2. Akram Dehnokhalaji & Pekka J. Korhonen & Murat Köksalan & Nasim Nasrabadi & Diclehan Tezcaner Öztürk & Jyrki Wallenius, 2014. "Constructing a strict total order for alternatives characterized by multiple criteria: An extension," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(2), pages 155-163, March.
    3. Canan Ulu & Murat Köksalan, 2014. "An interactive approach to multicriteria sorting for quasiconcave value functions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(6), pages 447-457, September.
    4. Ahti Salo & Antti Punkka, 2011. "Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis," Management Science, INFORMS, vol. 57(1), pages 200-214, January.
    5. Dehnokhalaji, Akram & Korhonen, Pekka J. & Köksalan, Murat & Nasrabadi, Nasim & Wallenius, Jyrki, 2010. "Efficiency analysis to incorporate interval-scale data," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1116-1121, December.
    6. Murat Köksalan & Vincent Mousseau & Selin Özpeynirci, 2017. "Multi-Criteria Sorting with Category Size Restrictions," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 5-23, January.
    7. Korhonen, Pekka J. & Silvennoinen, Kari & Wallenius, Jyrki & Öörni, Anssi, 2012. "Can a linear value function explain choices? An experimental study," European Journal of Operational Research, Elsevier, vol. 219(2), pages 360-367.
    8. Antti Punkka & Ahti Salo, 2014. "Scale Dependence and Ranking Intervals in Additive Value Models Under Incomplete Preference Information," Decision Analysis, INFORMS, vol. 11(2), pages 83-104, June.

  6. Fowler, John W. & Gel, Esma S. & Köksalan, Murat M. & Korhonen, Pekka & Marquis, Jon L. & Wallenius, Jyrki, 2010. "Interactive evolutionary multi-objective optimization for quasi-concave preference functions," European Journal of Operational Research, Elsevier, vol. 206(2), pages 417-425, October.

    Cited by:

    1. Katsikopoulos, Konstantinos V. & Egozcue, Martin & Garcia, Luis Fuentes, 2022. "A simple model for mixing intuition and analysis," European Journal of Operational Research, Elsevier, vol. 303(2), pages 779-789.
    2. Kadziński, Miłosz & Tervonen, Tommi & Tomczyk, Michał K. & Dekker, Rommert, 2017. "Evaluation of multi-objective optimization approaches for solving green supply chain design problems," Omega, Elsevier, vol. 68(C), pages 168-184.
    3. Sinha, Ankur & Korhonen, Pekka & Wallenius, Jyrki & Deb, Kalyanmoy, 2014. "An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls," European Journal of Operational Research, Elsevier, vol. 233(3), pages 674-688.
    4. Wang, Rui & Purshouse, Robin C. & Giagkiozis, Ioannis & Fleming, Peter J., 2015. "The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique," European Journal of Operational Research, Elsevier, vol. 243(2), pages 442-453.
    5. Nasim Nasrabadi & Akram Dehnokhalaji & Pekka Korhonen & Jyrki Wallenius, 2019. "Using convex preference cones in multiple criteria decision making and related fields," Journal of Business Economics, Springer, vol. 89(6), pages 699-717, August.
    6. Branke, Juergen & Corrente, Salvatore & Greco, Salvatore & Słowiński, Roman & Zielniewicz, Piotr, 2016. "Using Choquet integral as preference model in interactive evolutionary multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 250(3), pages 884-901.
    7. Shicheng Hu & Danping Li & Junmin Jia & Yang Liu, 2021. "A Self-Learning Based Preference Model for Portfolio Optimization," Mathematics, MDPI, vol. 9(20), pages 1-17, October.

  7. Dehnokhalaji, Akram & Korhonen, Pekka J. & Köksalan, Murat & Nasrabadi, Nasim & Wallenius, Jyrki, 2010. "Efficiency analysis to incorporate interval-scale data," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1116-1121, December.

    Cited by:

    1. Nasrabadi, Nasim & Dehnokhalaji, Akram & Korhonen, Pekka & Lokman, Banu & Wallenius, Jyrki, 2022. "Robustness of efficiency scores in data envelopment analysis with interval scale data," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1151-1161.
    2. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.
    3. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.

  8. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.

    Cited by:

    1. Gebhard Geiger, 2012. "Multi-attribute non-expected utility," Annals of Operations Research, Springer, vol. 196(1), pages 263-292, July.
    2. Gasparini, Gaia & Brunelli, Matteo & Chiriac, Marius Dan, 2022. "Multi-period portfolio decision analysis: A case study in the infrastructure management sector," Operations Research Perspectives, Elsevier, vol. 9(C).
    3. Ainhoa Gonzalez & Álvaro Enríquez-de-Salamanca, 2018. "Spatial Multi-Criteria Analysis in Environmental Assessment: A Review and Reflection on Benefits and Limitations," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-24, September.
    4. Shuang Yao & Donghua Yu & Yan Song & Hao Yao & Yuzhen Hu & Benhai Guo, 2018. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
    5. Vusal Babashov & Sarah Ben Amor & Gilles Reinhardt, 2020. "Framework for Drug Formulary Decision Using Multiple-Criteria Decision Analysis," Medical Decision Making, , vol. 40(4), pages 438-447, May.
    6. Werner, Christoph & Bedford, Tim & Cooke, Roger M. & Hanea, Anca M. & Morales-Nápoles, Oswaldo, 2017. "Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions," European Journal of Operational Research, Elsevier, vol. 258(3), pages 801-819.
    7. Vincent Martinet, 2009. "Defining sustainability objectives," EconomiX Working Papers 2009-7, University of Paris Nanterre, EconomiX.
    8. Höfer, Tim & von Nitzsch, Rüdiger & Madlener, Reinhard, 2019. "Using Value-Focused Thinking and Multi-Criteria Group Decision-Making to Evaluate Energy Transition Alternatives," FCN Working Papers 4/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    9. Kumar, Anil & Prakash, Om & Dube, Akarshi, 2017. "A review on progress of concentrated solar power in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 304-307.
    10. Wolfgang Ossadnik & Stefanie Schinke & Ralf H. Kaspar, 2016. "Group Aggregation Techniques for Analytic Hierarchy Process and Analytic Network Process: A Comparative Analysis," Group Decision and Negotiation, Springer, vol. 25(2), pages 421-457, March.
    11. Beccacece, Francesca & Borgonovo, Emanuele & Buzzard, Greg & Cillo, Alessandra & Zionts, Stanley, 2015. "Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions," European Journal of Operational Research, Elsevier, vol. 246(2), pages 517-527.
    12. Harald Dyckhoff, 2018. "Multi-criteria production theory: foundation of non-financial and sustainability performance evaluation," Journal of Business Economics, Springer, vol. 88(7), pages 851-882, September.
    13. Fowler, John W. & Gel, Esma S. & Köksalan, Murat M. & Korhonen, Pekka & Marquis, Jon L. & Wallenius, Jyrki, 2010. "Interactive evolutionary multi-objective optimization for quasi-concave preference functions," European Journal of Operational Research, Elsevier, vol. 206(2), pages 417-425, October.
    14. Nicola Smith & Charlotte Brown & Garry McDonald & Morag Ayers & Robert Kipp & Wendy Saunders, 2017. "Challenges and Opportunities for Economic Evaluation of Disaster Risk Decisions," Economics of Disasters and Climate Change, Springer, vol. 1(1), pages 111-120, June.
    15. Ambrose Lo & Zhaofeng Tang, 2019. "Pareto-optimal reinsurance policies in the presence of individual risk constraints," Annals of Operations Research, Springer, vol. 274(1), pages 395-423, March.
    16. Kanellopoulos, A. & Gerdessen, J.C. & Claassen, G.D.H., 2015. "Compromise programming: Non-interactive calibration of utility-based metrics," European Journal of Operational Research, Elsevier, vol. 244(2), pages 519-524.
    17. Hu, Qiwei & Chakhar, Salem & Siraj, Sajid & Labib, Ashraf, 2017. "Spare parts classification in industrial manufacturing using the dominance-based rough set approach," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1136-1163.
    18. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    19. Wang, Xu & Fang, Hong & Fang, Siran, 2020. "An integrated approach for exploitation block selection of shale gas—based on cloud model and grey relational analysis," Resources Policy, Elsevier, vol. 68(C).
    20. Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
    21. Samek, Anya & Hur, Inkyoung & Kim, Sung-Hee & Yi, Ji Soo, 2016. "An experimental study of the decision process with interactive technology," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 20-32.
    22. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    23. Xiaoping Li & Dan Zhu, 2011. "Object technology software selection: a case study," Annals of Operations Research, Springer, vol. 185(1), pages 5-24, May.
    24. Xuyuan Zhang & Hailin Liang & Shaojian Qu, 2024. "Robust Consensus Modeling: Concerning Consensus Fairness and Efficiency with Uncertain Costs," Mathematics, MDPI, vol. 12(8), pages 1-31, April.
    25. Yokoyama, Narimasa & Azuma, Nobukazu & Kim, Woonho, 2022. "Moderating effect of customer's retail format perception on customer satisfaction formation: An empirical study of mini-supermarkets in an urban retail market setting," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    26. Wu, Siqi & Wu, Meng & Dong, Yucheng & Liang, Haiming & Zhao, Sihai, 2020. "The 2-rank additive model with axiomatic design in multiple attribute decision making," European Journal of Operational Research, Elsevier, vol. 287(2), pages 536-545.
    27. Andrew J. Keith & Darryl K. Ahner, 2021. "A survey of decision making and optimization under uncertainty," Annals of Operations Research, Springer, vol. 300(2), pages 319-353, May.
    28. Andrew Grant & Steve Satchell, 2019. "Endogenous divorce risk and investment," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(3), pages 845-876, July.
    29. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016. "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Econometric Institute Research Papers EI2016-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    30. Olivier Cailloux & Tommi Tervonen & Boris Verhaegen & François Picalausa, 2014. "A data model for algorithmic multiple criteria decision analysis," Annals of Operations Research, Springer, vol. 217(1), pages 77-94, June.
    31. Huck, Nicolas, 2010. "Pairs trading and outranking: The multi-step-ahead forecasting case," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1702-1716, December.
    32. Marko Šostar & Vladimir Ristanović, 2023. "An Assessment of the Impact of the COVID-19 Pandemic on Consumer Behavior Using the Analytic Hierarchy Process Model," Sustainability, MDPI, vol. 15(20), pages 1-31, October.
    33. Smeulders, Bart & Crama, Yves & Spieksma, Frits C.R., 2019. "Revealed preference theory: An algorithmic outlook," European Journal of Operational Research, Elsevier, vol. 272(3), pages 803-815.
    34. Jella Pfeiffer & Michael Scholz, 2013. "A Low-Effort Recommendation System with High Accuracy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 397-408, December.
    35. Wanjing Cheng & Dongxu Mo & Yajun Tian & Wenqiang Xu & Kechang Xie, 2018. "Research on the Composite Index of the Modern Chinese Energy System," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    36. Sheldon, Tamara L. & Dua, Rubal, 2020. "Effectiveness of China's plug-in electric vehicle subsidy," Energy Economics, Elsevier, vol. 88(C).
    37. Parisa-Sadat Ashofteh & Shirin Moradi Far & Parvin Golfam, 2023. "Application of Multi-Criteria Decision-Making of CODAS and SWARA in Reservoir Optimal Operation Using Marine Predator Algorithm Based on Game Theory," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4385-4412, September.
    38. Kleijnen, Jack P.C., 2011. "Ethical issues in engineering models : An operations researcher's reflections," Other publications TiSEM 88caba9e-1d78-47d7-9a0b-b, Tilburg University, School of Economics and Management.
    39. Jingguo Wang & Raj Sharman & Stanley Zionts, 2012. "Functionality defense through diversity: a design framework to multitier systems," Annals of Operations Research, Springer, vol. 197(1), pages 25-45, August.
    40. Aragonés-Beltrán, Pablo & Chaparro-González, Fidel & Pastor-Ferrando, Juan-Pascual & Pla-Rubio, Andrea, 2014. "An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects," Energy, Elsevier, vol. 66(C), pages 222-238.
    41. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    42. Junyi Chai & Zhiquan Weng & Wenbin Liu, 2021. "Behavioral Decision Making in Normative and Descriptive Views: A Critical Review of Literature," JRFM, MDPI, vol. 14(10), pages 1-14, October.
    43. Ishizaka, Alessio & Siraj, Sajid, 2018. "Are multi-criteria decision-making tools useful? An experimental comparative study of three methods," European Journal of Operational Research, Elsevier, vol. 264(2), pages 462-471.
    44. Masoud Zarepisheh & Panos M. Pardalos, 2017. "An equivalent transformation of multi-objective optimization problems," Annals of Operations Research, Springer, vol. 249(1), pages 5-15, February.
    45. Rudiah Md Hanafiah & Nur Hazwani Karim & Noorul Shaiful Fitri Abdul Rahman & Saharuddin Abdul Hamid & Ahmed Maher Mohammed, 2022. "An Innovative Risk Matrix Model for Warehousing Productivity Performance," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    46. Yucheng Dong & Yao Li & Ying He & Xia Chen, 2021. "Preference–Approval Structures in Group Decision Making: Axiomatic Distance and Aggregation," Decision Analysis, INFORMS, vol. 18(4), pages 273-295, December.
    47. Po-Lung Yu & Yen-Chu Chen, 2012. "Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics," Annals of Operations Research, Springer, vol. 197(1), pages 201-220, August.
    48. Miguel Hervás-Peralta & Sara Poveda-Reyes & Gemma Dolores Molero & Francisco Enrique Santarremigia & Juan-Pascual Pastor-Ferrando, 2019. "Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS)," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    49. James G. Dolan & Emily Boohaker & Jeroan Allison & Thomas F. Imperiale, 2013. "Patients’ Preferences and Priorities Regarding Colorectal Cancer Screening," Medical Decision Making, , vol. 33(1), pages 59-70, January.
    50. Harju, Mikko & Liesiö, Juuso & Virtanen, Kai, 2019. "Spatial multi-attribute decision analysis: Axiomatic foundations and incomplete preference information," European Journal of Operational Research, Elsevier, vol. 275(1), pages 167-181.
    51. Ruxing Gao & Hyo On Nam & Won Il Ko & Hong Jang, 2017. "National Options for a Sustainable Nuclear Energy System: MCDM Evaluation Using an Improved Integrated Weighting Approach," Energies, MDPI, vol. 10(12), pages 1-24, December.
    52. Yan Xu & Chung-Hsing Yeh, 2017. "Sustainability-based selection decisions for e-waste recycling operations," Annals of Operations Research, Springer, vol. 248(1), pages 531-552, January.
    53. Rodrigues, Teresa C. & Montibeller, Gilberto & Oliveira, Mónica D. & Bana e Costa, Carlos A., 2017. "Modelling multicriteria value interactions with Reasoning Maps," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1054-1071.
    54. Martyn, Krzysztof & Kadziński, Miłosz, 2023. "Deep preference learning for multiple criteria decision analysis," European Journal of Operational Research, Elsevier, vol. 305(2), pages 781-805.
    55. Imbernon, Ursula & Casanovas-Rubio, Maria del Mar & Monteiro, Carolina & Armengou, Jaume, 2022. "A decision-making method for planning exhibitions in arts organizations: A case study of CaixaForum Barcelona," Evaluation and Program Planning, Elsevier, vol. 93(C).
    56. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    57. He, Shawei, 2022. "A time sensitive graph model for conflict resolution with application to international air carbon negotiation," European Journal of Operational Research, Elsevier, vol. 302(2), pages 652-670.
    58. Ünsal Özdilek, 2020. "Land and building separation based on Shapley values," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-13, December.
    59. Ram, Camelia, 2020. "Scenario presentation and scenario generation in multi-criteria assessments: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    60. Josefa García Mestanza & Rim Bakhat, 2021. "A Fuzzy AHP-MAIRCA Model for Overtourism Assessment: The Case of Malaga Province," Sustainability, MDPI, vol. 13(11), pages 1-32, June.
    61. Leoneti, Alexandre Bevilacqua, 2016. "Utility Function for modeling Group Multicriteria Decision Making problems as games," Operations Research Perspectives, Elsevier, vol. 3(C), pages 21-26.
    62. Mistry, Jamshed & Sarkis, Joseph & Dhavale, Dileep G., 2014. "Multi-criteria analysis using latent class cluster ranking: An investigation into corporate resiliency," International Journal of Production Economics, Elsevier, vol. 148(C), pages 1-13.
    63. Mafakheri, Fereshteh & Breton, Michele & Ghoniem, Ahmed, 2011. "Supplier selection-order allocation: A two-stage multiple criteria dynamic programming approach," International Journal of Production Economics, Elsevier, vol. 132(1), pages 52-57, July.
    64. David E. Allen & Michael McAleer & Abhay K. Singh, 2018. "A Multi-Criteria Financial and Energy Portfolio Analysis of Hedge Fund Strategies," Documentos de Trabajo del ICAE 2018-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    65. Stanković Jelena & Popović Žarko & Kostevski Sanja, 2016. "Determination of Expert Group Preferences in the Multi-Criteria Model for the Analysis of Local Economic Environment," Economic Themes, Sciendo, vol. 54(2), pages 261-280, June.
    66. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
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  9. Kim, B. & Gel, E.S. & Fowler, J.W. & Carlyle, W.M. & Wallenius, J., 2006. "Evaluation of nondominated solution sets for k-objective optimization problems: An exact method and approximations," European Journal of Operational Research, Elsevier, vol. 173(2), pages 565-582, September.

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    1. Karakaya, G. & Köksalan, M., 2021. "Evaluating solutions and solution sets under multiple objectives," European Journal of Operational Research, Elsevier, vol. 294(1), pages 16-28.
    2. Bilge Bozkurt & John W. Fowler & Esma S. Gel & Bosun Kim & Murat Köksalan & Jyrki Wallenius, 2010. "Quantitative Comparison of Approximate Solution Sets for Multicriteria Optimization Problems with Weighted Tchebycheff Preference Function," Operations Research, INFORMS, vol. 58(3), pages 650-659, June.

  10. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Zaitsev, Alexander, 2006. "A multi-attribute e-auction mechanism for procurement: Theoretical foundations," European Journal of Operational Research, Elsevier, vol. 175(1), pages 90-100, November.

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    1. Banerjee, Simanti & Conte, Marc N., 2017. "Balancing Complexity and Rent-Seeking in Multi-Attribute Conservation Procurement Auctions: Evidence from a Laboratory Experiment," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266293, Agricultural and Applied Economics Association.
    2. Pham, Long & Teich, Jeffrey & Wallenius, Hannele & Wallenius, Jyrki, 2015. "Multi-attribute online reverse auctions: Recent research trends," European Journal of Operational Research, Elsevier, vol. 242(1), pages 1-9.
    3. Włodzimierz Ogryczak & Bartosz Kozłowski, 2011. "Reference point method with importance weighted ordered partial achievements," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(2), pages 380-401, December.
    4. Narasimhan, Ram & Talluri, Srinivas & Mahapatra, Santosh, 2008. "Effective response to RFQs and supplier development: A supplier's perspective," International Journal of Production Economics, Elsevier, vol. 115(2), pages 461-470, October.
    5. Li, Ying & Gupta, Sudheer, 2011. "Strategic capability investments and competition for supply contracts," European Journal of Operational Research, Elsevier, vol. 214(2), pages 273-283, October.
    6. Koen V. Hindriks & Dmytro Tykhonov & Mathijs M. Weerdt, 2012. "Qualitative One-to-Many Multi-Issue Negotiation: Approximating the QVA," Group Decision and Negotiation, Springer, vol. 21(1), pages 49-77, January.
    7. Gülpınar, N. & Oliveira, F.S., 2012. "Robust trading in spot and forward oligopolistic markets," International Journal of Production Economics, Elsevier, vol. 138(1), pages 35-45.
    8. Soumyakanti Chakraborty & Anup K. Sen & Amitava Bagchi, 2015. "Addressing the valuation problem in multi-round combinatorial auctions," Information Systems Frontiers, Springer, vol. 17(5), pages 1145-1160, October.
    9. Oliveira, Fernando S., 2017. "Strategic procurement in spot and forward markets considering regulation and capacity constraints," European Journal of Operational Research, Elsevier, vol. 261(2), pages 540-548.
    10. Gülşah Karakaya & Murat Köksalan, 2016. "An interactive approach for Bi-attribute multi-item auctions," Annals of Operations Research, Springer, vol. 245(1), pages 97-119, October.
    11. Schellhorn, Henry, 2011. "A trading mechanism contingent on several indices," European Journal of Operational Research, Elsevier, vol. 213(3), pages 551-558, September.
    12. Romero Morales, Dolores & Steinberg, Richard, 2014. "Revenue deficiency under second-price auctions in a supply-chain setting," European Journal of Operational Research, Elsevier, vol. 233(1), pages 131-144.
    13. Shilei Wang & Ying Ji & M. I. M. Wahab & Dan Xu & Changbao Zhou, 2022. "A New Decision Framework of Online Multi-Attribute Reverse Auctions for Green Supplier Selection under Mixed Uncertainty," Sustainability, MDPI, vol. 14(24), pages 1-23, December.
    14. Lorentziadis, Panos L., 2020. "Competitive bidding in asymmetric multidimensional public procurement," European Journal of Operational Research, Elsevier, vol. 282(1), pages 211-220.
    15. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2016. "A Sealed-Bid Two-Attribute Yardstick Auction Without Prior Scoring," Group Decision and Negotiation, Springer, vol. 25(4), pages 827-843, July.
    16. Gregory E. Kersten, 2014. "Multiattribute Procurement Auctions: Efficiency and Social Welfare in Theory and Practice," Decision Analysis, INFORMS, vol. 11(4), pages 215-232, December.
    17. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2013. "A Multi-attribute Yardstick Auction without Prior Scoring," MSAP Working Paper Series 02_2013, University of Copenhagen, Department of Food and Resource Economics, revised Mar 2014.
    18. Li, Yung-Ming & Jhang-Li, Jhih-Hua, 2011. "Analyzing online B2B exchange markets: Asymmetric cost and incomplete information," European Journal of Operational Research, Elsevier, vol. 214(3), pages 722-731, November.
    19. Schneider, Frank, 2008. "Multiple criteria decision making in application layer networks," Bayreuth Reports on Information Systems Management 36, University of Bayreuth, Chair of Information Systems Management.
    20. Ervasti, Valtteri & Leskelä, Riikka-Leena, 2010. "Allocative efficiency in simulated multiple-unit combinatorial auctions with quantity support," European Journal of Operational Research, Elsevier, vol. 203(1), pages 251-260, May.
    21. Cheng, Chi-Bin, 2011. "Reverse auction with buyer-supplier negotiation using bi-level distributed programming," European Journal of Operational Research, Elsevier, vol. 211(3), pages 601-611, June.
    22. Butler, John C. & Dyer, James S. & Jia, Jianmin & Tomak, Kerem, 2008. "Enabling e-transactions with multi-attribute preference models," European Journal of Operational Research, Elsevier, vol. 186(2), pages 748-765, April.
    23. Huang, Min & Qian, Xiaohu & Fang, Shu-Cherng & Wang, Xingwei, 2016. "Winner determination for risk aversion buyers in multi-attribute reverse auction," Omega, Elsevier, vol. 59(PB), pages 184-200.

  11. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Koppius, Otto R., 2004. "Emerging multiple issue e-auctions," European Journal of Operational Research, Elsevier, vol. 159(1), pages 1-16, November.

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    1. Pham, Long & Teich, Jeffrey & Wallenius, Hannele & Wallenius, Jyrki, 2015. "Multi-attribute online reverse auctions: Recent research trends," European Journal of Operational Research, Elsevier, vol. 242(1), pages 1-9.
    2. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
    3. Wang, Charles X. & Webster, Scott & Zhang, Sidong, 2011. "A comparison of two sourcing tactics for a new component," European Journal of Operational Research, Elsevier, vol. 211(2), pages 310-317, June.
    4. Narasimhan, Ram & Talluri, Srinivas & Mahapatra, Santosh, 2008. "Effective response to RFQs and supplier development: A supplier's perspective," International Journal of Production Economics, Elsevier, vol. 115(2), pages 461-470, October.
    5. Alessandro Avenali & Giorgio Matteucci & Fabio Nonino, 2010. "Outsourcing of Facility Management Activities and Procurement Design," DIS Technical Reports 2010-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    6. Domenico Colucci & Nicola Doni & Vincenzo Valori, 2012. "Information revelation in procurement auctions: an equivalence result," Working Papers - Mathematical Economics 2012-07, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    7. Cheng, Meng & Xu, Su Xiu & Huang, George Q., 2016. "Truthful multi-unit multi-attribute double auctions for perishable supply chain trading," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 21-37.
    8. Perrone, G. & Roma, P. & Lo Nigro, G., 2010. "Designing multi-attribute auctions for engineering services procurement in new product development in the automotive context," International Journal of Production Economics, Elsevier, vol. 124(1), pages 20-31, March.
    9. Erik Heilmann & Nikolai Klempp & Heike Wetzel, 2020. "Market design of regional flexibility markets: A classification metric for flexibility products and its application to German prototypical flexibility markets," MAGKS Papers on Economics 202002, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Koen V. Hindriks & Dmytro Tykhonov & Mathijs M. Weerdt, 2012. "Qualitative One-to-Many Multi-Issue Negotiation: Approximating the QVA," Group Decision and Negotiation, Springer, vol. 21(1), pages 49-77, January.
    11. Jin, Mingzhou & Junfang Yu, Andrew, 2015. "Procurement auctions and supply chain performance," International Journal of Production Economics, Elsevier, vol. 162(C), pages 192-200.
    12. Heilmann, Erik & Klempp, Nikolai & Wetzel, Heike, 2020. "Design of regional flexibility markets for electricity: A product classification framework for and application to German pilot projects," Utilities Policy, Elsevier, vol. 67(C).
    13. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2012. "A Simple Multi-attribute Yardstick Auction Without Prior Scoring," MSAP Working Paper Series 02_2012, University of Copenhagen, Department of Food and Resource Economics.
    14. Jie Xiang & Juliang Zhang & T. C. E. Cheng & Jose Maria Sallan & Guowei Hua, 2019. "Efficient Multi-Attribute Auctions Considering Supply Disruption," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-28, June.
    15. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2016. "A Sealed-Bid Two-Attribute Yardstick Auction Without Prior Scoring," Group Decision and Negotiation, Springer, vol. 25(4), pages 827-843, July.
    16. Wang, Hong, 2020. "Quality manipulation and limit corruption in competitive procurement," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1124-1135.
    17. Jin, Mingzhou & Wu, S. David & Erkoc, Murat, 2006. "Multiple unit auctions with economies and diseconomies of scale," European Journal of Operational Research, Elsevier, vol. 174(2), pages 816-834, October.
    18. Wedad J. Elmaghraby & Elena Katok & Natalia Santamaría, 2012. "A Laboratory Investigation of Rank Feedback in Procurement Auctions," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 128-144, January.
    19. Hazra, Jishnu & Mahadevan, B., 2006. "Impact of supply base heterogeneity in electronic markets," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1580-1594, November.
    20. Doukidis, Georgios I. & Pramatari, Katerina & Lekakos, Georgios, 2008. "OR and the management of electronic services," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1296-1309, June.
    21. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2013. "A Multi-attribute Yardstick Auction without Prior Scoring," MSAP Working Paper Series 02_2013, University of Copenhagen, Department of Food and Resource Economics, revised Mar 2014.
    22. Burke, Gerard J. & Carrillo, Janice E. & Vakharia, Asoo J., 2007. "Single versus multiple supplier sourcing strategies," European Journal of Operational Research, Elsevier, vol. 182(1), pages 95-112, October.
    23. Jiang, Zhong-Zhong & Fang, Shu-Cherng & Fan, Zhi-Ping & Wang, Dingwei, 2013. "Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers," European Journal of Operational Research, Elsevier, vol. 226(1), pages 139-153.
    24. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Zaitsev, Alexander, 2006. "A multi-attribute e-auction mechanism for procurement: Theoretical foundations," European Journal of Operational Research, Elsevier, vol. 175(1), pages 90-100, November.
    25. Li, Yung-Ming & Jhang-Li, Jhih-Hua, 2011. "Analyzing online B2B exchange markets: Asymmetric cost and incomplete information," European Journal of Operational Research, Elsevier, vol. 214(3), pages 722-731, November.
    26. Tunay I. Tunca & Qiong Wu, 2009. "Multiple Sourcing and Procurement Process Selection with Bidding Events," Management Science, INFORMS, vol. 55(5), pages 763-780, May.
    27. Avenali, Alessandro, 2009. "Exploring the VCG mechanism in combinatorial auctions: The threshold revenue and the threshold-price rule," European Journal of Operational Research, Elsevier, vol. 199(1), pages 262-275, November.
    28. Domenico Colucci & Nicola Doni & Vincenzo Valori, 2015. "Information policies in procurement auctions with heterogeneous suppliers," Journal of Economics, Springer, vol. 114(3), pages 211-238, April.
    29. Fibich, Gadi & Gavious, Arieh, 2010. "Asymptotic revenue equivalence of asymmetric auctions with interdependent values," European Journal of Operational Research, Elsevier, vol. 206(2), pages 496-507, October.
    30. Cheng, Chi-Bin, 2011. "Reverse auction with buyer-supplier negotiation using bi-level distributed programming," European Journal of Operational Research, Elsevier, vol. 211(3), pages 601-611, June.

  12. Korhonen, Pekka & Tainio, Risto & Wallenius, Jyrki, 2001. "Value efficiency analysis of academic research," European Journal of Operational Research, Elsevier, vol. 130(1), pages 121-132, April.
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  13. Kasanen, Eero & Wallenius, Hannele & Wallenius, Jyrki & Zionts, Stanley, 2000. "A study of high-level managerial decision processes, with implications for MCDM research," European Journal of Operational Research, Elsevier, vol. 120(3), pages 496-510, February.

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    2. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
    3. Saeid Alaei & Seyed Hossein Razavi Hajiagha & Hannan Amoozad Mahdiraji & Jose Arturo Garza-Reyes, 2023. "Unveiling the role of sustainable supply chain drivers toward knowledge-based economy via a novel permutation approach: implications from an emerging economy," Operations Management Research, Springer, vol. 16(3), pages 1231-1250, September.
    4. Donald L. Keefer & Craig W. Kirkwood & James L. Corner, 2004. "Perspective on Decision Analysis Applications, 1990–2001," Decision Analysis, INFORMS, vol. 1(1), pages 4-22, March.
    5. Manel Baucells & Rakesh K. Sarin, 2003. "Group Decisions with Multiple Criteria," Management Science, INFORMS, vol. 49(8), pages 1105-1118, August.
    6. Hajkowicz, Stefan & Higgins, Andrew, 2008. "A comparison of multiple criteria analysis techniques for water resource management," European Journal of Operational Research, Elsevier, vol. 184(1), pages 255-265, January.
    7. Morgan, Horatio M. & Ngwenyama, Ojelanki, 2015. "Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 211-223.
    8. Henao, Felipe & Cherni, Judith A. & Jaramillo, Patricia & Dyner, Isaac, 2012. "A multicriteria approach to sustainable energy supply for the rural poor," European Journal of Operational Research, Elsevier, vol. 218(3), pages 801-809.

  14. Merja Halme & Tarja Joro & Pekka Korhonen & Seppo Salo & Jyrki Wallenius, 1999. "A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis," Management Science, INFORMS, vol. 45(1), pages 103-115, January.

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    2. Ioannis Gkouvitsos & Ioannis Giannikos, 2022. "Using a MACBETH based multicriteria approach for virtual weight restrictions in each stage of a DEA multi-stage ranking process," Operational Research, Springer, vol. 22(3), pages 1787-1811, July.
    3. Halme, Merja & Korhonen, Pekka, 2000. "Restricting weights in value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 126(1), pages 175-188, October.
    4. Pereira, Miguel Alves & Figueira, José Rui & Marques, Rui Cunha, 2020. "Using a Choquet integral-based approach for incorporating decision-maker’s preference judgments in a Data Envelopment Analysis model," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1016-1030.
    5. Carlos Serrano-Cinca & Yolanda Fuertes-Callén & Beatriz Cuellar-Fernández, 2021. "Managing for Stakeholders Using Multiple-Criteria Decision-Making Techniques," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 581-601, September.
    6. Tavana, Madjid & Ebrahimnejad, Ali & Santos-Arteaga, Francisco J. & Mansourzadeh, Seyed Mehdi & Matin, Reza Kazemi, 2018. "A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 70-89.
    7. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2013. "Preference Elicitation in Generalized Data Envelopment Analysis - In Search of a New Energy Balance in Japan," Tinbergen Institute Discussion Papers 13-162/VIII, Tinbergen Institute.
    8. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    9. Marshall, Elizabeth & Shortle, James, 2005. "Using DEA and VEA to Evaluate Quality of Life in the Mid-Atlantic States," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 185-203, October.
    10. Harald Dyckhoff, 2018. "Multi-criteria production theory: foundation of non-financial and sustainability performance evaluation," Journal of Business Economics, Springer, vol. 88(7), pages 851-882, September.
    11. Stewart, Theodor J., 2010. "Goal directed benchmarking for organizational efficiency," Omega, Elsevier, vol. 38(6), pages 534-539, December.
    12. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
    13. Soushi Suzuki & Peter Nijkamp, 2008. "A Generalized Goals-achievement Model in Data Envelopment Analysis," Tinbergen Institute Discussion Papers 08-110/3, Tinbergen Institute.
    14. Zuoren Sun & Rundong Luo & Dequn Zhou, 2015. "Optimal Path for Controlling Sectoral CO 2 Emissions Among China’s Regions: A Centralized DEA Approach," Sustainability, MDPI, vol. 8(1), pages 1-20, December.
    15. Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
    16. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the most preferred solution in value efficiency analysis," Journal of Productivity Analysis, Springer, vol. 58(2), pages 203-220, December.
    17. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    18. Sourour Ramzi & Mohamed Ayadi, 2016. "Assessment of Universities Efficiency Using Data Envelopment Analysis: Weights Restrictions and Super-Efficiency Measure," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(1), pages 40-58, February.
    19. J Quariguasi Frota Neto & L Angulo-Meza, 2007. "Alternative targets for data envelopment analysis through multi-objective linear programming: Rio de Janeiro Odontological Public Health System Case Study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(7), pages 865-873, July.
    20. Wen-Min Lu & Qian Long Kweh & Kai-Chu Yang, 2022. "Multiplicative efficiency aggregation to evaluate Taiwanese local auditing institutions performance," Annals of Operations Research, Springer, vol. 315(2), pages 1243-1262, August.
    21. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    22. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2010. "An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency," EERI Research Paper Series EERI_RP_2010_17, Economics and Econometrics Research Institute (EERI), Brussels.
    23. Soushi Suzuki, 2014. "Improvement restriction data envelopment analysis for new energy in Japan," ERSA conference papers ersa14p223, European Regional Science Association.
    24. T Joro & E-J Viitala, 2004. "Weight-restricted DEA in action: from expert opinions to mathematical models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 814-821, August.
    25. Yang, Jiawei & Li, Dan & Li, Yongjun, 2024. "A generalized data envelopment analysis approach for fixed cost allocation with preference information," Omega, Elsevier, vol. 122(C).
    26. Eduardo González & Ana Cárcaba & Juan Ventura, 2011. "The Importance of the Geographic Level of Analysis in the Assessment of the Quality of Life: The Case of Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 102(2), pages 209-228, June.
    27. Eskelinen, Juha & Halme, Merja & Kallio, Markku, 2014. "Bank branch sales evaluation using extended value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 232(3), pages 654-663.
    28. Peter Bogetoft & Kurt Nielsen, 2005. "Internet Based Benchmarking," Group Decision and Negotiation, Springer, vol. 14(3), pages 195-215, May.
    29. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(4), pages 442-471, December.
    30. Ramón, Nuria & Ruiz, José L. & Sirvent, Inmaculada, 2020. "Cross-benchmarking for performance evaluation: Looking across best practices of different peer groups using DEA," Omega, Elsevier, vol. 92(C).
    31. Hinojosa, M.A. & Mármol, A.M., 2011. "Axial solutions for multiple objective linear problems. An application to target setting in DEA models with preferences," Omega, Elsevier, vol. 39(2), pages 159-167, April.
    32. Labijak-Kowalska, Anna & Kadziński, Miłosz & Dias, Luis C., 2024. "Robustness analysis for imprecise additive value efficiency analysis with an application to evaluation of special economic zones in Poland," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    33. Peter Bogetoft & Jens Hougaard, 2003. "Rational Inefficiencies," Journal of Productivity Analysis, Springer, vol. 20(3), pages 243-271, November.
    34. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2013. "A Target-Oriented Data Envelopment Analysis for Energy-Environment Efficiency Improvement in Japan," ERSA conference papers ersa13p535, European Regional Science Association.
    35. Henriques, C.O. & Marcenaro-Gutierrez, O.D., 2021. "Efficiency of secondary schools in Portugal: A novel DEA hybrid approach," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    36. Joro, Tarja & Korhonen, Pekka & Zionts, Stanley, 2003. "An interactive approach to improve estimates of value efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 149(3), pages 688-699, September.
    37. Inha Oh & Jeong-Dong Lee & Seogwon Hwang & Almas Heshmati, 2010. "Analysis of product efficiency in the Korean automobile market from a consumer’s perspective," Empirical Economics, Springer, vol. 38(1), pages 119-137, February.
    38. Førsund, Finn R., 2017. "Measuring effectiveness of production in the public sector," Omega, Elsevier, vol. 73(C), pages 93-103.
    39. Khodadadipour, M. & Hadi-Vencheh, A. & Behzadi, M.H. & Rostamy-malkhalifeh, M., 2021. "Undesirable factors in stochastic DEA cross-efficiency evaluation: An application to thermal power plant energy efficiency," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 613-628.
    40. Gouveia, M.C. & Dias, L.C. & Antunes, C.H. & Boucinha, J. & Inácio, C.F., 2015. "Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method," Omega, Elsevier, vol. 53(C), pages 104-114.
    41. Suzuki, Soushi & Nijkamp, Peter, 2016. "An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis," Energy Policy, Elsevier, vol. 88(C), pages 100-112.
    42. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    43. Panagiotis Ravanos & Giannis Karagiannis, 2023. "On VEA, production trade-offs and weights restrictions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2081-2093, October.
    44. M. C. Gouveia & L. C. Dias & C. H. Antunes & M. A. Mota & E. M. Duarte & E. M. Tenreiro, 2016. "An application of value-based DEA to identify the best practices in primary health care," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 743-767, July.
    45. Jiménez, Fernando & Zabala Iturriagagoitia, Jon Mikel & Zofío, José Luis, 2007. "Efficiency in Public Research Centers: Evaluating the Spanish Food Technology Program," Working Papers in Economic Theory 2007/04, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    46. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    47. Ole Olesen & N. Petersen, 2003. "Identification and Use of Efficient Faces and Facets in DEA," Journal of Productivity Analysis, Springer, vol. 20(3), pages 323-360, November.
    48. Panagiotis Ravanos & Giannis Karagiannis, 2020. "Using VEA to assess effectiveness in the development of human capabilities," Discussion Paper Series 2020_03, Department of Economics, University of Macedonia, revised May 2020.
    49. Lovell, Knox, 2001. "Future Research Opportunities in Efficiency and Productivity Analysis," Efficiency Series Papers 2001/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    50. Quariguasi Frota Neto, J. & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & van Heck, H.W.G.M., 2006. "Designing and Evaluating Sustainable Logistics Networks," ERIM Report Series Research in Management ERS-2006-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    51. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2012. "A preference allocation-DFM model in Data Envelopment Analysis -An application to Energy-Environment-Economic efficiency in Japan-," ERSA conference papers ersa12p332, European Regional Science Association.
    52. Babak Daneshvar Rouyendegh & Asil Oztekin & Joseph Ekong & Ali Dag, 2019. "Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach," Annals of Operations Research, Springer, vol. 278(1), pages 361-378, July.
    53. Tsou, Chi-Ming & Huang, Deng-Yuan, 2010. "On some methods for performance ranking and correspondence analysis in the DEA context," European Journal of Operational Research, Elsevier, vol. 203(3), pages 771-783, June.
    54. Lei Fang & C-Q Zhang, 2008. "Resource allocation based on the DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(8), pages 1136-1141, August.
    55. Halme, Merja & Korhonen, Pekka & Eskelinen, Juha, 2014. "Non-convex value efficiency analysis and its application to bank branch sales evaluation," Omega, Elsevier, vol. 48(C), pages 10-18.
    56. Cherchye, Laurens & Kuosmanen, Timo & Post, Thierry, 2002. "Non-parametric production analysis in non-competitive environments," International Journal of Production Economics, Elsevier, vol. 80(3), pages 279-294, December.
    57. T. Joro & E-J. Viitala, 1999. "The Efficiency of Public Forestry Organizations: A Comparison of Different Weight Restriction Approaches," Working Papers ir99059, International Institute for Applied Systems Analysis.
    58. Peter Nijkamp & Soushi Suzuki, 2009. "A Generalized Goals-achievement Model in Data Envelopment Analysis: an Application to Efficiency Improvement in Local Government Finance in Japan," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(3), pages 249-274.
    59. Lahdelma, Risto & Salminen, Pekka, 2006. "Stochastic multicriteria acceptability analysis using the data envelopment model," European Journal of Operational Research, Elsevier, vol. 170(1), pages 241-252, April.
    60. Sebastián Lozano & Gabriel Villa, 2004. "Centralized Resource Allocation Using Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 22(1), pages 143-161, July.
    61. Ahti Salo & Antti Punkka, 2011. "Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis," Management Science, INFORMS, vol. 57(1), pages 200-214, January.
    62. Eduardo González & Ana Cárcaba & Juan Ventura, 2018. "Weight Constrained DEA Measurement of the Quality of Life in Spanish Municipalities in 2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1157-1182, April.
    63. Yongbo Li & Amir-Reza Abtahi & Mahya Seyedan, 2019. "Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry," Annals of Operations Research, Springer, vol. 275(2), pages 461-484, April.
    64. Giannis Karagiannis & Panagiotis Ravanos, 2023. "On Value Efficiency Analysis and Cone-Ratio Data Envelopment Analysis models," Discussion Paper Series 2023_03, Department of Economics, University of Macedonia, revised Mar 2023.
    65. Lobo, Maria Stella de Castro & Estellita Lins, Marcos Pereira & Rodrigues, Henrique de Castro & Soares, Gabriel Martins, 2022. "Planning feasible and efficient operational scenarios for a university hospital through multimethodology," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    66. González, Eduardo & García, Vicente, 2006. "Using Value Efficiency Analysis (VEA) to Measure Productivity Efficiency in Primary Health Care," Efficiency Series Papers 2006/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    67. Camanho, Ana Santos & Silva, Maria Conceicao & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2024. "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 315(1), pages 1-18.
    68. Alcaide-López-de-Pablo, David & Dios-Palomares, Rafaela & Prieto, Ángel M., 2014. "A new multicriteria approach for the analysis of efficiency in the Spanish olive oil sector by modelling decision maker preferences," European Journal of Operational Research, Elsevier, vol. 234(1), pages 241-252.
    69. Caballero, Rafael & Galache, Teodoro & Gomez, Trinidad & Molina, Julian & Torrico, Angel, 2004. "Budgetary allocations and efficiency in the human resources policy of a university following multiple criteria," Economics of Education Review, Elsevier, vol. 23(1), pages 67-74, February.
    70. Silva, Elvira & Lansink, Alfons Oude & Stefanou, Spiro E., 2015. "The adjustment-cost model of the firm: Duality and productive efficiency," International Journal of Production Economics, Elsevier, vol. 168(C), pages 245-256.
    71. Garcia-Cestona, Miguel & Surroca, Jordi, 2008. "Multiple goals and ownership structure: Effects on the performance of Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 582-599, June.
    72. Özgür Özpeynirci & Murat Köksalan, 2007. "Performance evaluation using data envelopment analysis in the presence of time lags," Journal of Productivity Analysis, Springer, vol. 27(3), pages 221-229, June.
    73. Nasim Nasrabadi & Akram Dehnokhalaji & Pekka Korhonen & Jyrki Wallenius, 2019. "Using convex preference cones in multiple criteria decision making and related fields," Journal of Business Economics, Springer, vol. 89(6), pages 699-717, August.
    74. Ruiz, José L. & Sirvent, Inmaculada, 2019. "Performance evaluation through DEA benchmarking adjusted to goals," Omega, Elsevier, vol. 87(C), pages 150-157.
    75. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    76. Pekka Korhonen & Margareta Soismaa & Aapo Siljamäki, 2002. "On the Use of Value Efficiency Analysis and Some Further Developments," Journal of Productivity Analysis, Springer, vol. 17(1), pages 49-64, January.
    77. Appelstrand, Marie, 2002. "Participation and societal values: the challenge for lawmakers and policy practitioners," Forest Policy and Economics, Elsevier, vol. 4(4), pages 281-290, December.
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    79. Panagiotis Ravanos & Giannis Karagiannis, 2021. "A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 27-46, May.
    80. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
    81. Li, Xiao-Bai & Reeves, Gary R., 1999. "A multiple criteria approach to data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 115(3), pages 507-517, June.
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    85. Yun, Y. B. & Nakayama, H. & Tanino, T., 2004. "A generalized model for data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 157(1), pages 87-105, August.
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    2. P. Korhonen, 1997. "Searching the Efficient Frontier in Data Envelopment Analysis," Working Papers ir97079, International Institute for Applied Systems Analysis.
    3. Halme, Merja & Korhonen, Pekka, 2000. "Restricting weights in value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 126(1), pages 175-188, October.
    4. Tommaso Agasisti & Giuseppe Munda & Ralph Hippe, 2019. "Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation," Journal of Productivity Analysis, Springer, vol. 51(2), pages 105-124, June.
    5. Castillo, Ignacio & Joro, Tarja & Li, Yong Yue, 2009. "Workforce scheduling with multiple objectives," European Journal of Operational Research, Elsevier, vol. 196(1), pages 162-170, July.
    6. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2013. "Preference Elicitation in Generalized Data Envelopment Analysis - In Search of a New Energy Balance in Japan," Tinbergen Institute Discussion Papers 13-162/VIII, Tinbergen Institute.
    7. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
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    9. Harald Dyckhoff, 2018. "Multi-criteria production theory: foundation of non-financial and sustainability performance evaluation," Journal of Business Economics, Springer, vol. 88(7), pages 851-882, September.
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    14. Peter Bogetoft & Kurt Nielsen, 2002. "DEA Based Yardstick Competition in Natural Resource Management," CIE Discussion Papers 2002-04, University of Copenhagen. Department of Economics. Centre for Industrial Economics.
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    35. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
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    38. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2012. "A preference allocation-DFM model in Data Envelopment Analysis -An application to Energy-Environment-Economic efficiency in Japan-," ERSA conference papers ersa12p332, European Regional Science Association.
    39. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    40. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    41. Monge, Juan F. & Ruiz, José L., 2023. "Setting closer targets based on non-dominated convex combinations of Pareto-efficient units: A bi-level linear programming approach in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1084-1096.
    42. Peter Nijkamp & Soushi Suzuki, 2009. "A Generalized Goals-achievement Model in Data Envelopment Analysis: an Application to Efficiency Improvement in Local Government Finance in Japan," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(3), pages 249-274.
    43. Lahdelma, Risto & Salminen, Pekka, 2006. "Stochastic multicriteria acceptability analysis using the data envelopment model," European Journal of Operational Research, Elsevier, vol. 170(1), pages 241-252, April.
    44. Korhonen, Pekka J. & Dehnokhalaji, Akram & Nasrabadi, Nasim, 2018. "A lexicographic radial projection onto the efficient frontier in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1005-1012.
    45. Homburg, Carsten, 2005. "Using relative profits as an alternative to activity-based costing," International Journal of Production Economics, Elsevier, vol. 95(3), pages 387-397, March.
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    47. Diaz-Balteiro, L & González-Pachón, J. & Romero, C., 2017. "Measuring systems sustainability with multi-criteria methods: A critical review," European Journal of Operational Research, Elsevier, vol. 258(2), pages 607-616.
    48. Mohammad Izadikhah & Reza Farzipoor Saen, 2020. "Ranking sustainable suppliers by context-dependent data envelopment analysis," Annals of Operations Research, Springer, vol. 293(2), pages 607-637, October.
    49. Lobo, Maria Stella de Castro & Estellita Lins, Marcos Pereira & Rodrigues, Henrique de Castro & Soares, Gabriel Martins, 2022. "Planning feasible and efficient operational scenarios for a university hospital through multimethodology," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    50. F. Hosseinzadeh Lotfi & A. Noora & G. Jahanshahloo & J. Jablonsky & M. Mozaffari & J. Gerami, 2009. "An MOLP based procedure for finding efficient units in DEA models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 17(1), pages 1-11, March.
    51. Dehnokhalaji, Akram & Korhonen, Pekka J. & Köksalan, Murat & Nasrabadi, Nasim & Wallenius, Jyrki, 2010. "Efficiency analysis to incorporate interval-scale data," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1116-1121, December.
    52. M P Estellita Lins & L Angulo-Meza & A C Moreira Da Silva, 2004. "A multi-objective approach to determine alternative targets in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1090-1101, October.
    53. Caballero, Rafael & Galache, Teodoro & Gomez, Trinidad & Molina, Julian & Torrico, Angel, 2004. "Budgetary allocations and efficiency in the human resources policy of a university following multiple criteria," Economics of Education Review, Elsevier, vol. 23(1), pages 67-74, February.
    54. Mosbah, Ezzeddine & Zaibet, Lokman & Dharmapala, P. Sunil, 2020. "A new methodology to measure efficiencies of inputs (outputs) of decision making units in Data Envelopment Analysis with application to agriculture," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    55. Basso, Antonella & Funari, Stefania, 2001. "A data envelopment analysis approach to measure the mutual fund performance," European Journal of Operational Research, Elsevier, vol. 135(3), pages 477-492, December.
    56. Chen Yuh Wen, 2019. "Multi-objective data envelopment analysis: A game of multiple attribute decision-making," Journal of Economics and Management, Sciendo, vol. 37(3), pages 156-177, September.
    57. Tommi Gustafsson & Ahti Salo & Ramakrishnan Ramanathan, 2003. "Multicriteria methods for technology foresight," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(2-3), pages 235-255.
    58. M C Gouveia & L C Dias & C H Antunes, 2008. "Additive DEA based on MCDA with imprecise information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 54-63, January.
    59. Akram Dehnokhalaji & Behjat Hallaji & Narges Soltani & Jafar Sadeghi, 2017. "Convex cone-based ranking of decision-making units in DEA," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 861-880, July.
    60. Tahir Ekin & Ozan Kocadagli & Nathaniel D. Bastian & Lawrence V. Fulton & Paul M. Griffin, 2016. "Fuzzy decision making in health systems: a resource allocation model," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 245-267, November.
    61. T. Joro, 1998. "Models for Identifying Target Units in Data Envelopment Analysis: Comparison and Extension," Working Papers ir98055, International Institute for Applied Systems Analysis.
    62. Soushi Suzuki & Peter Nijkamp, 2021. "High urban population density as a facilitator of energy–environment–economy performance–development of an autoconfiguration target model in data envelopment analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 261-287, February.
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    66. Karima Kourtit & Peter Nijkamp & Soushi Suzuki, 2023. "Quantitative performance assessment of Asian stellar cities by a DEA cascade system: a capability interpretation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 259-286, February.
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  16. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Zionts, Stanley, 1996. "Identifying Pareto-optimal settlements for two-party resource allocation negotiations," European Journal of Operational Research, Elsevier, vol. 93(3), pages 536-549, September.

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    1. Rudolf Vetschera & Michael Filzmoser & Ronald Mitterhofer, 2014. "An Analytical Approach to Offer Generation in Concession-Based Negotiation Processes," Group Decision and Negotiation, Springer, vol. 23(1), pages 71-99, January.
    2. Bragge, Johanna, 2001. "Premediation analysis of the energy taxation dispute in Finland," European Journal of Operational Research, Elsevier, vol. 132(1), pages 1-16, July.
    3. Bendoly, Elliot & Bachrach, Daniel G., 2003. "A process-based model for priority convergence in multi-period group decision-making," European Journal of Operational Research, Elsevier, vol. 148(3), pages 534-545, August.
    4. May Tajima & Niall M. Fraser, 2001. "Logrolling Procedure for Multi-Issue Negotiation," Group Decision and Negotiation, Springer, vol. 10(3), pages 217-235, May.
    5. J. Teich & H. Wallenius & J. Wallenius, 1998. "Multiple Issue Action and Market Algorithms for the World Wide Web," Working Papers ir98109, International Institute for Applied Systems Analysis.
    6. J. Teich & H. Wallenius & J. Wallenius, 1998. "World Wide Web Technology in Support of Negotiation and Communication," Working Papers ir98018, International Institute for Applied Systems Analysis.
    7. Ehtamo, Harri & Kettunen, Eero & Hamalainen, Raimo P., 2001. "Searching for joint gains in multi-party negotiations," European Journal of Operational Research, Elsevier, vol. 130(1), pages 54-69, April.
    8. Vetschera, Rudolf, 2009. "Learning about preferences in electronic negotiations - A volume-based measurement method," European Journal of Operational Research, Elsevier, vol. 194(2), pages 452-463, April.
    9. Harri Ehtamo & Raimo P. Hämäläinen, 2001. "Interactive Multiple‐Criteria Methods for Reaching Pareto Optimal Agreements in Negotiations," Group Decision and Negotiation, Springer, vol. 10(6), pages 475-491, November.
    10. Heiskanen, Pirja & Ehtamo, Harri & Hamalainen, Raimo P., 2001. "Constraint proposal method for computing Pareto solutions in multi-party negotiations," European Journal of Operational Research, Elsevier, vol. 133(1), pages 44-61, August.
    11. Heiskanen, Pirja, 1999. "Decentralized method for computing Pareto solutions in multiparty negotiations," European Journal of Operational Research, Elsevier, vol. 117(3), pages 578-590, September.
    12. Kitti, Mitri & Ehtamo, Harri, 2007. "Analysis of the constraint proposal method for two-party negotiations," European Journal of Operational Research, Elsevier, vol. 181(2), pages 817-827, September.
    13. Lou, Youcheng & Wang, Shouyang, 2016. "Approximate representation of the Pareto frontier in multiparty negotiations: Decentralized methods and privacy preservation," European Journal of Operational Research, Elsevier, vol. 254(3), pages 968-976.

  17. Karaivanova, Jasmina & Korhonen, Pekka & Narula, Subhash & Wallenius, Jyrki & Vassilev, Vassil, 1995. "A reference direction approach to multiple objective integer linear programming," European Journal of Operational Research, Elsevier, vol. 81(1), pages 176-187, February.

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    1. Ted Ralphs & Matthew Saltzman & Margaret Wiecek, 2006. "An improved algorithm for solving biobjective integer programs," Annals of Operations Research, Springer, vol. 147(1), pages 43-70, October.
    2. Alves, Maria Joao & Climaco, Joao, 2007. "A review of interactive methods for multiobjective integer and mixed-integer programming," European Journal of Operational Research, Elsevier, vol. 180(1), pages 99-115, July.
    3. Pekka Korhonen & Guang Yuan Yu, 2000. "Quadratic Pareto Race," World Scientific Book Chapters, in: Yong Shi & Milan Zeleny (ed.), New Frontiers Of Decision Making For The Information Technology Era, chapter 7, pages 123-142, World Scientific Publishing Co. Pte. Ltd..
    4. Banu Lokman & Murat Köksalan & Pekka J. Korhonen & Jyrki Wallenius, 2016. "An interactive algorithm to find the most preferred solution of multi-objective integer programs," Annals of Operations Research, Springer, vol. 245(1), pages 67-95, October.
    5. Ustun, Ozden & DemI[dot above]rtas, Ezgi Aktar, 2008. "An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection," Omega, Elsevier, vol. 36(4), pages 509-521, August.
    6. Demirtas, Ezgi Aktar & Üstün, Özden, 2008. "An integrated multiobjective decision making process for supplier selection and order allocation," Omega, Elsevier, vol. 36(1), pages 76-90, February.
    7. Alves, Maria Joao & Climaco, Joao, 2000. "An interactive reference point approach for multiobjective mixed-integer programming using branch-and-bound," European Journal of Operational Research, Elsevier, vol. 124(3), pages 478-494, August.
    8. Alves, Maria Joao & Climaco, Joao, 1999. "Using cutting planes in an interactive reference point approach for multiobjective integer linear programming problems," European Journal of Operational Research, Elsevier, vol. 117(3), pages 565-577, September.

  18. Kivijarvi, Hannu & Kuula, Markku & Wallenius, Jyrki, 1995. "Operations research and its practice in Finland -- An update," European Journal of Operational Research, Elsevier, vol. 87(3), pages 435-439, December.

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    2. Kao, Chiang & Liu, Shiang-Tai, 1997. "Operations research applications in Taiwan: A linguistic approach," European Journal of Operational Research, Elsevier, vol. 103(3), pages 628-634, December.
    3. Ranyard, J.C. & Fildes, R. & Hu, Tun-I, 2015. "Reassessing the scope of OR practice: The Influences of Problem Structuring Methods and the Analytics Movement," European Journal of Operational Research, Elsevier, vol. 245(1), pages 1-13.

  19. Davey, Anne & Olson, David & Wallenius, Jyrki, 1994. "The process of multiattribute decision making: A case study of selecting applicants for a Ph.D. program," European Journal of Operational Research, Elsevier, vol. 72(3), pages 469-484, February.

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    2. Mustafa, A. & Goh, M., 1996. "Multi-criterion models for higher education administration," Omega, Elsevier, vol. 24(2), pages 167-178, April.
    3. Moore, James S, 1998. "An Expert System Approach to Graduate School Admission Decisions and Academic Performance Prediction," Omega, Elsevier, vol. 26(5), pages 659-670, October.

  20. James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Jyrki Wallenius & Stanley Zionts, 1992. "Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years," Management Science, INFORMS, vol. 38(5), pages 645-654, May.

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    1. O'Connell, Philip J. & Russell, Helen & FitzGerald, John, 2006. "Human Resources," Book Chapters, in: Morgenroth, Edgar (ed.),Ex-Ante Evaluation of the Investment Priorities for the National Development Plan 2007-2013, Economic and Social Research Institute (ESRI).
    2. Chen, Andrew N.K., 2006. "Robust optimization for performance tuning of modern database systems," European Journal of Operational Research, Elsevier, vol. 171(2), pages 412-429, June.
    3. Yeh, Chung-Hsing & Chang, Yu-Hern, 2009. "Modeling subjective evaluation for fuzzy group multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 194(2), pages 464-473, April.
    4. Chang, Yu-Hern & Yeh, Chung-Hsing, 2002. "A survey analysis of service quality for domestic airlines," European Journal of Operational Research, Elsevier, vol. 139(1), pages 166-177, May.
    5. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    6. Rios-Insua, Sixto & Mateos, Alfonso, 1998. "The utility efficient set and its interactive reduction," European Journal of Operational Research, Elsevier, vol. 105(3), pages 581-593, March.
    7. Kiryluk-Dryjska, Ewa & Beba, Patrycja, 2018. "Region-specific budgeting of rural development funds—An application study," Land Use Policy, Elsevier, vol. 77(C), pages 126-134.
    8. Beccacece, Francesca & Borgonovo, Emanuele & Buzzard, Greg & Cillo, Alessandra & Zionts, Stanley, 2015. "Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions," European Journal of Operational Research, Elsevier, vol. 246(2), pages 517-527.
    9. Palander, Teijo, 2011. "Technical and economic analysis of electricity generation from forest, fossil, and wood-waste fuels in a Finnish heating plant," Energy, Elsevier, vol. 36(9), pages 5579-5590.
    10. Fowler, John W. & Gel, Esma S. & Köksalan, Murat M. & Korhonen, Pekka & Marquis, Jon L. & Wallenius, Jyrki, 2010. "Interactive evolutionary multi-objective optimization for quasi-concave preference functions," European Journal of Operational Research, Elsevier, vol. 206(2), pages 417-425, October.
    11. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    12. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
    13. R. Aversi & G. Dosi & G. Fagiolo & M. Meacci & C. Olivetti, 1997. "Demand Dynamics With Socially Evolving Preferences," Working Papers ir97081, International Institute for Applied Systems Analysis.
    14. Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
    15. Miettinen, Kaisa & Eskelinen, Petri & Ruiz, Francisco & Luque, Mariano, 2010. "NAUTILUS method: An interactive technique in multiobjective optimization based on the nadir point," European Journal of Operational Research, Elsevier, vol. 206(2), pages 426-434, October.
    16. Faris A. AlFaraidy & Kishore Srinivasa Teegala & Gaurav Dwivedi, 2023. "Selection of a Sustainable Structural Floor System for an Office Building Using the Analytic Hierarchy Process and the Multi-Attribute Utility Theory," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    17. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
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    19. M.A. Quaddus & M.A.B. Siddique, 1994. "Multiobjective Decision Support in Development Planning," Economics Discussion / Working Papers 94-01, The University of Western Australia, Department of Economics.
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  21. Korhonen, Pekka & Wallenius, Jyrki & Zionts, Stanley, 1992. "A computer graphics-based Decision Support System for multiple objective linear programming," European Journal of Operational Research, Elsevier, vol. 60(3), pages 280-286, August.

    Cited by:

    1. P. Korhonen, 1998. "Multiple Objective Programming Support," Working Papers ir98010, International Institute for Applied Systems Analysis.

  22. Korhonen, Pekka & Moskowitz, Herbert & Wallenius, Jyrki, 1992. "Multiple criteria decision support - A review," European Journal of Operational Research, Elsevier, vol. 63(3), pages 361-375, December.

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    1. Salo, Ahti A., 1995. "Interactive decision aiding for group decision support," European Journal of Operational Research, Elsevier, vol. 84(1), pages 134-149, July.
    2. Jeffrey R. Stokes & Allen W. Sturdivant & Houshmand A. Ziari & M. Edward Rister & Bruce A. McCarl, 1998. "Meat packing plant production planning: Application of mixed integer goal programming," Agribusiness, John Wiley & Sons, Ltd., vol. 14(3), pages 171-181.
    3. Zhang, Weihua & Reimann, Marc, 2014. "A simple augmented ∊-constraint method for multi-objective mathematical integer programming problems," European Journal of Operational Research, Elsevier, vol. 234(1), pages 15-24.
    4. Giovanni Circella, 2006. "Towards the adoption of technological innovations: decision processes in transport policy definition," ERSA conference papers ersa06p556, European Regional Science Association.
    5. C Gagné & M Gravel & W L Price, 2005. "Using metaheuristic compromise programming for the solution of multiple-objective scheduling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 687-698, June.
    6. Podinovski, Victor V., 1999. "A DSS for multiple criteria decision analysis with imprecisely specified trade-offs," European Journal of Operational Research, Elsevier, vol. 113(2), pages 261-270, March.
    7. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    8. M.A. Quaddus & M.A.B. Siddique, 1994. "Multiobjective Decision Support in Development Planning," Economics Discussion / Working Papers 94-01, The University of Western Australia, Department of Economics.
    9. Jeong, In-Jun & Kim, Kwang-Jae, 2009. "An interactive desirability function method to multiresponse optimization," European Journal of Operational Research, Elsevier, vol. 195(2), pages 412-426, June.
    10. Kurka, Thomas & Blackwood, David, 2013. "Selection of MCA methods to support decision making for renewable energy developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 225-233.
    11. Chowdary, Boppana V. & Slomp, Jannes, 2002. "Production planning under dynamic product environment: a multi-objective goal programming approach," Research Report 02A12, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    12. J. Granat & M. Makowski, 1998. "ISAAP - Interactive Specification and Analysis of Aspiration-Based Preferences," Working Papers ir98052, International Institute for Applied Systems Analysis.
    13. Nicholas Generous & Kristen J Margevicius & Kirsten J Taylor-McCabe & Mac Brown & W Brent Daniel & Lauren Castro & Andrea Hengartner & Alina Deshpande, 2014. "Selecting Essential Information for Biosurveillance—A Multi-Criteria Decision Analysis," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-15, January.
    14. Drexl, Andreas & Kolisch, Rainer, 1994. "Model-based assembly management in machine tool manufacturing," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 346, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    15. Downing, C. E. & Ringuest, J. L., 1998. "An experimental evaluation of the efficacy of four multi-objective linear programming algorithms," European Journal of Operational Research, Elsevier, vol. 104(3), pages 549-558, February.
    16. Peter Bogetoft & Kurt Nielsen, 2005. "Internet Based Benchmarking," Group Decision and Negotiation, Springer, vol. 14(3), pages 195-215, May.
    17. Loebbecke, Claudia & Huyskens, Claudio, 2009. "Development of a model-based netsourcing decision support system using a five-stage methodology," European Journal of Operational Research, Elsevier, vol. 195(3), pages 653-661, June.
    18. Pekka Salminen & Jeffrey E. Teich & Jyrki Wallenius, 1998. "The Secretary Problem Revisited - The Group Decision-Making Perspective," Group Decision and Negotiation, Springer, vol. 7(1), pages 3-21, January.
    19. M. Makowski, 1994. "Methodology and a Modular Tool for Multiple Criteria Analysis of LP Models," Working Papers wp94102, International Institute for Applied Systems Analysis.
    20. Mehrez, Abraham, 1997. "The interface between OR/MS and decision theory," European Journal of Operational Research, Elsevier, vol. 99(1), pages 38-47, May.
    21. Norbis, Mario & MacGregor Smith, J., 1996. "An interactive decision support system for the resource Constrained Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 94(1), pages 54-65, October.
    22. Haapalinna, Ilkka, 2003. "How to allocate funds within the army," European Journal of Operational Research, Elsevier, vol. 144(1), pages 224-233, January.
    23. Muñoz, Camila & Galvez, Daniel & Enjolras, Manon & Camargo, Mauricio & Alfaro, Miguel, 2022. "Relationship between innovation and exports in enterprises: A support tool for synergistic improvement plans," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    24. Maddulapalli, A.K. & Azarm, S. & Boyars, A., 2007. "Sensitivity analysis for product design selection with an implicit value function," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1245-1259, August.
    25. Vetschera, Rudolf, 1992. "Composite alternatives in group decision support," Discussion Papers, Series I 262, University of Konstanz, Department of Economics.
    26. Gandibleux, Xavier, 1999. "Interactive multicriteria procedure exploiting a knowledge-based module to select electricity production alternatives: The CASTART system," European Journal of Operational Research, Elsevier, vol. 113(2), pages 355-373, March.
    27. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    28. Vetschera, Rudolf, 1991. "A preference-preserving projection technique for MCDM," Discussion Papers, Series I 256, University of Konstanz, Department of Economics.
    29. Ann Davey & David Olson, 1998. "Multiple Criteria Decision Making Models in Group Decision Support," Group Decision and Negotiation, Springer, vol. 7(1), pages 55-75, January.
    30. J. Bloemhof-Ruwaard & H. Koudijs & J. Vis, 1995. "Environmental impacts of fat blends," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 6(4), pages 371-387, December.
    31. Islei, Gerd & Lockett, Geoff & Naudé, Peter, 1999. "Judgemental modelling as an aid to scenario planning and analysis," Omega, Elsevier, vol. 27(1), pages 61-73, February.
    32. Frauendorfer, K. & Konigsperger, E., 1996. "Concepts for improving scheduling decisions: An application in the chemical industry," International Journal of Production Economics, Elsevier, vol. 46(1), pages 27-38, December.
    33. Benson, Harold P. & Sun, Erjiang, 2002. "A weight set decomposition algorithm for finding all efficient extreme points in the outcome set of a multiple objective linear program," European Journal of Operational Research, Elsevier, vol. 139(1), pages 26-41, May.
    34. V. Jog & I. Kaliszewski & W. Michalowski, 1998. "Using Trade-off Information in Attributes' Investing," Working Papers ir98019, International Institute for Applied Systems Analysis.
    35. Mariano Luque & Salvador Pérez-Moreno & José A. Robles & Beatriz Rodriguez, 2017. "Measuring Child and Maternal Health in Developing Countries: A Proposal of New Hybrid MDG Composite Indices," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(3), pages 737-758, September.
    36. Korhonen, Pekka J. & Silvennoinen, Kari & Wallenius, Jyrki & Öörni, Anssi, 2012. "Can a linear value function explain choices? An experimental study," European Journal of Operational Research, Elsevier, vol. 219(2), pages 360-367.
    37. Eom, Sean B., 1998. "Relationships between the decision support system subspecialities and reference disciplines: An empirical investigation," European Journal of Operational Research, Elsevier, vol. 104(1), pages 31-45, January.
    38. Lean Yu & Shouyang Wang & Fenghua Wen & Kin Lai, 2012. "Genetic algorithm-based multi-criteria project portfolio selection," Annals of Operations Research, Springer, vol. 197(1), pages 71-86, August.
    39. Kasanen, Eero & Wallenius, Hannele & Wallenius, Jyrki & Zionts, Stanley, 2000. "A study of high-level managerial decision processes, with implications for MCDM research," European Journal of Operational Research, Elsevier, vol. 120(3), pages 496-510, February.
    40. Park, K. Sam & Shin, Dong Eun, 2012. "Interactive multiobjective optimization approach to the input–output design of opening new branches," European Journal of Operational Research, Elsevier, vol. 220(2), pages 530-538.
    41. G. Fischer & M. Makowski & J. Antoine, 1996. "Multiple Criteria Land Use Analysis," Working Papers wp96006, International Institute for Applied Systems Analysis.
    42. Antonio Morillas & Bárbara Díaz & Jesús González, 2005. "FUZZY COMPARATIVE CONCORDANCE ANALYSIS. Proposal and evaluation by a case study," Urban/Regional 0512004, University Library of Munich, Germany.
    43. Sayin, Serpil & Karabati, Selcuk, 1999. "A bicriteria approach to the two-machine flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 113(2), pages 435-449, March.
    44. Rufo, M.J. & Pérez, C.J. & Martín, J., 2010. "Merging experts' opinions: A Bayesian hierarchical model with mixture of prior distributions," European Journal of Operational Research, Elsevier, vol. 207(1), pages 284-289, November.
    45. Vetschera, Rudolf, 1993. "Visualisierungstechniken in Entscheidungsproblemen bei mehrfacher Zielsetzung," Discussion Papers, Series I 267, University of Konstanz, Department of Economics.
    46. Özgür Kabak & Da Ruan, 2011. "A comparison study of fuzzy MADM methods in nuclear safeguards evaluation," Journal of Global Optimization, Springer, vol. 51(2), pages 209-226, October.
    47. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.
    48. Rok Drnovšek & Marija Milavec Kapun & Uroš Rajkovič, 2021. "Multi-criteria risk evaluation model for developing ventilator-associated pneumonia," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 1021-1036, September.
    49. Weistroffer, H. Roland & Wooldridge, Blue E. & Singh, Rahul, 1999. "A multi-criteria approach to local tax planning," Socio-Economic Planning Sciences, Elsevier, vol. 33(4), pages 301-315, December.

  23. Korhonen, Pekka & Wallenius, Jyrki, 1990. "Using qualitative data in multiple objective linear programming," European Journal of Operational Research, Elsevier, vol. 48(1), pages 81-87, September.

    Cited by:

    1. Kwak, N. K. & Lee, Changwon, 1998. "A multicriteria decision-making approach to university resource allocations and information infrastructure planning," European Journal of Operational Research, Elsevier, vol. 110(2), pages 234-242, October.
    2. Ramanathan, R., 1997. "Stochastic decision making using multiplicative AHP," European Journal of Operational Research, Elsevier, vol. 97(3), pages 543-549, March.
    3. Gomez-Limon, J.A. & Atance, I., 2004. "Identification of public objectives related to agricultural sector support," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 1045-1071, December.
    4. Ramanathan, R. & Ganesh, L. S., 1995. "Energy resource allocation incorporating qualitative and quantitative criteria: An integrated model using goal programming and AHP," Socio-Economic Planning Sciences, Elsevier, vol. 29(3), pages 197-218, September.
    5. Zeki Ayag, 2016. "AHP-Based Approach to evaluate solar power plant location alternatives," Proceedings of Business and Management Conferences 3405942, International Institute of Social and Economic Sciences.
    6. Korpela, Jukka & Kylaheiko, Kalevi & Lehmusvaara, Antti & Tuominen, Markku, 2002. "An analytic approach to production capacity allocation and supply chain design," International Journal of Production Economics, Elsevier, vol. 78(2), pages 187-195, July.
    7. Korpela, Jukka & Lehmusvaara, Antti & Tuominen, Markku, 2001. "Customer service based design of the supply chain," International Journal of Production Economics, Elsevier, vol. 69(2), pages 193-204, January.
    8. Caballero, Rafael & Ruiz, Francisco & Uria, M. Victoria Rodriguez & Romero, Carlos, 2006. "Interactive meta-goal programming," European Journal of Operational Research, Elsevier, vol. 175(1), pages 135-154, November.
    9. P. Korhonen & R. Tainio & J. Wallenius, 1998. "Value Efficiency Analysis of Academic Research," Working Papers ir98032, International Institute for Applied Systems Analysis.
    10. Zeki AYAG, 2015. "A Multiple-Criteria Decision Making Method For Evaluating Solar Power Plant Location Alternatives," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 878-884, November.
    11. Korpela, Jukka & Lehmusvaara, Antti, 1999. "A customer oriented approach to warehouse network evaluation and design," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 135-146, March.
    12. Wen-Hsien Tsai & Ching-Chien Yang & Jun-Der Leu & Ya-Fen Lee & Chih-Hao Yang, 2013. "An Integrated Group Decision Making Support Model for Corporate Financing Decisions," Group Decision and Negotiation, Springer, vol. 22(6), pages 1103-1127, November.
    13. José A. Gómez-Limón & Ignacio Atance, 2004. "Identification of Public Objectives Related to Agricultural Sector Support," Economic Working Papers at Centro de Estudios Andaluces E2004/57, Centro de Estudios Andaluces.
    14. Crary, Michael & Nozick, L. K. & Whitaker, L. R., 2002. "Sizing the US destroyer fleet," European Journal of Operational Research, Elsevier, vol. 136(3), pages 680-695, February.

  24. Pekka Korhonen & Jyrki Wallenius & Stanley Zionts, 1984. "Solving the Discrete Multiple Criteria Problem using Convex Cones," Management Science, INFORMS, vol. 30(11), pages 1336-1345, November.

    Cited by:

    1. Karakaya, G. & Köksalan, M. & Ahipaşaoğlu, S.D., 2018. "Interactive algorithms for a broad underlying family of preference functions," European Journal of Operational Research, Elsevier, vol. 265(1), pages 248-262.
    2. Wan S. Shin & Diane Breivik Allen, 1994. "An interactive paired comparison method for bicriterion integer programming," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(3), pages 423-434, April.
    3. Huang, Zhimin & Li, Susan X. & Raghavan, Veeravalli & Bruce Sun, D., 1995. "Proper efficiency and cardinal utilities in multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 82(3), pages 476-489, May.
    4. Özlem Karsu & Hale Erkan, 2020. "Balance in resource allocation problems: a changing reference approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 297-326, March.
    5. Fowler, John W. & Gel, Esma S. & Köksalan, Murat M. & Korhonen, Pekka & Marquis, Jon L. & Wallenius, Jyrki, 2010. "Interactive evolutionary multi-objective optimization for quasi-concave preference functions," European Journal of Operational Research, Elsevier, vol. 206(2), pages 417-425, October.
    6. Ringuest, Jeffrey L. & Graves, Samuel B., 2000. "A sampling-based method for generating nondominated solutions in stochastic MOMP problems," European Journal of Operational Research, Elsevier, vol. 126(3), pages 651-661, November.
    7. Karakaya, G. & Köksalan, M., 2023. "Finding preferred solutions under weighted Tchebycheff preference functions for multi-objective integer programs," European Journal of Operational Research, Elsevier, vol. 308(1), pages 215-228.
    8. Pekka Korhonen & Majid Soleimani-damaneh & Jyrki Wallenius, 2017. "The use of quasi-concave value functions in MCDM: some theoretical results," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(2), pages 367-375, October.
    9. Thomas L. Saaty, 2013. "The Modern Science of Multicriteria Decision Making and Its Practical Applications: The AHP/ANP Approach," Operations Research, INFORMS, vol. 61(5), pages 1101-1118, October.
    10. Xiaoping Li & Dan Zhu, 2011. "Object technology software selection: a case study," Annals of Operations Research, Springer, vol. 185(1), pages 5-24, May.
    11. P. Korhonen & J. Karaivanova, 1998. "An Algorithm for Projecting a Reference Direction onto the Nondominated Set of Given Points," Working Papers ir98011, International Institute for Applied Systems Analysis.
    12. Nowak, Maciej, 2007. "Aspiration level approach in stochastic MCDM problems," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1626-1640, March.
    13. Korhonen, Pekka & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2016. "Dual cone approach to convex-cone dominance in multiple criteria decision making," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1139-1143.
    14. Kaynar, Nur & Karsu, Özlem, 2018. "Equitable decision making approaches over allocations of multiple benefits to multiple entities," Omega, Elsevier, vol. 81(C), pages 85-98.
    15. M. Murat Köksalan, 1989. "Identifying and ranking a most preferred subset of alternatives in the presence of multiple criteria," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(4), pages 359-372, August.
    16. Vetschera, Rudolf, 2000. "A multi-criteria agency model with incomplete preference information," European Journal of Operational Research, Elsevier, vol. 126(1), pages 152-165, October.
    17. Ishizaka, Alessio & Siraj, Sajid, 2018. "Are multi-criteria decision-making tools useful? An experimental comparative study of three methods," European Journal of Operational Research, Elsevier, vol. 264(2), pages 462-471.
    18. Özlem Karsu & Alec Morton, 2021. "Trading off health and financial protection benefits with multiobjective optimization," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 55-69, January.
    19. Diclehan Tezcaner Öztürk & Murat Köksalan, 2016. "An interactive approach for biobjective integer programs under quasiconvex preference functions," Annals of Operations Research, Springer, vol. 244(2), pages 677-696, September.
    20. Koksalan, Murat & Ulu, Canan, 2003. "An interactive approach for placing alternatives in preference classes," European Journal of Operational Research, Elsevier, vol. 144(2), pages 429-439, January.
    21. Banu Lokman & Murat Köksalan & Pekka J. Korhonen & Jyrki Wallenius, 2016. "An interactive algorithm to find the most preferred solution of multi-objective integer programs," Annals of Operations Research, Springer, vol. 245(1), pages 67-95, October.
    22. Sun, Minghe & Steuer, Ralph E., 1996. "InterQuad: An interactive quad tree based procedure for solving the discrete alternative multiple criteria problem," European Journal of Operational Research, Elsevier, vol. 89(3), pages 462-472, March.
    23. Bashir Bashir & Özlem Karsu, 2022. "Solution approaches for equitable multiobjective integer programming problems," Annals of Operations Research, Springer, vol. 311(2), pages 967-995, April.
    24. Soleimani-damaneh, Majid & Pourkarimi, Latif & Korhonen, Pekka J. & Wallenius, Jyrki, 2021. "An operational test for the existence of a consistent increasing quasi-concave value function," European Journal of Operational Research, Elsevier, vol. 289(1), pages 232-239.
    25. Vetschera, Rudolf, 1992. "Estimating preference cones from discrete choices: Computational techniques and experiences," Discussion Papers, Series I 259, University of Konstanz, Department of Economics.
    26. Akram Dehnokhalaji & Pekka J. Korhonen & Murat Köksalan & Nasim Nasrabadi & Diclehan Tezcaner Öztürk & Jyrki Wallenius, 2014. "Constructing a strict total order for alternatives characterized by multiple criteria: An extension," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(2), pages 155-163, March.
    27. Canan Ulu & Murat Köksalan, 2014. "An interactive approach to multicriteria sorting for quasiconcave value functions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(6), pages 447-457, September.
    28. Gülşah Karakaya & Murat Köksalan, 2016. "An interactive approach for Bi-attribute multi-item auctions," Annals of Operations Research, Springer, vol. 245(1), pages 97-119, October.
    29. Halme, Merja & Korhonen, Pekka & Eskelinen, Juha, 2014. "Non-convex value efficiency analysis and its application to bank branch sales evaluation," Omega, Elsevier, vol. 48(C), pages 10-18.
    30. Peter Reichert & Klemens Niederberger & Peter Rey & Urs Helg & Susanne Haertel-Borer, 2019. "The need for unconventional value aggregation techniques: experiences from eliciting stakeholder preferences in environmental management," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 197-219, November.
    31. Selin Özpeynirci & Özgür Özpeynirci & Vincent Mousseau, 2021. "An interactive algorithm for resource allocation with balance concerns," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 983-1005, December.
    32. Wang, Rui & Purshouse, Robin C. & Giagkiozis, Ioannis & Fleming, Peter J., 2015. "The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique," European Journal of Operational Research, Elsevier, vol. 243(2), pages 442-453.
    33. Ann Davey & David Olson, 1998. "Multiple Criteria Decision Making Models in Group Decision Support," Group Decision and Negotiation, Springer, vol. 7(1), pages 55-75, January.
    34. Nikolaos Argyris & Alec Morton & José Rui Figueira, 2014. "CUT: A Multicriteria Approach for Concavifiable Preferences," Operations Research, INFORMS, vol. 62(3), pages 633-642, June.
    35. Behnam Malakooti, 2015. "Double Helix Value Functions, Ordinal/Cardinal Approach, Additive Utility Functions, Multiple Criteria, Decision Paradigm, Process, and Types (Z Theory I)," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1353-1400, November.
    36. Karsu, Özlem & Morton, Alec & Argyris, Nikos, 2018. "Capturing preferences for inequality aversion in decision support," European Journal of Operational Research, Elsevier, vol. 264(2), pages 686-706.
    37. Nasim Nasrabadi & Akram Dehnokhalaji & Pekka Korhonen & Jyrki Wallenius, 2019. "Using convex preference cones in multiple criteria decision making and related fields," Journal of Business Economics, Springer, vol. 89(6), pages 699-717, August.
    38. Canan Ulu & Murat Köksalan, 2001. "An interactive procedure for selecting acceptable alternatives in the presence of multiple criteria," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(7), pages 592-606, October.
    39. Engau, Alexander, 2009. "Tradeoff-based decomposition and decision-making in multiobjective programming," European Journal of Operational Research, Elsevier, vol. 199(3), pages 883-891, December.
    40. Miłosz Kadziński & Michał K. Tomczyk, 2017. "Interactive Evolutionary Multiple Objective Optimization for Group Decision Incorporating Value-based Preference Disaggregation Methods," Group Decision and Negotiation, Springer, vol. 26(4), pages 693-728, July.
    41. R. Ramesh & Mark H. Karwan & Stanley Zionts, 1989. "Interactive multicriteria linear programming: An extension of the method of Zionts and Wallenius," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(3), pages 321-335, June.
    42. Lee, Dong-Hee & Kim, Kwang-Jae & Köksalan, Murat, 2011. "A posterior preference articulation approach to multiresponse surface optimization," European Journal of Operational Research, Elsevier, vol. 210(2), pages 301-309, April.
    43. Akram Dehnokhalaji & Behjat Hallaji & Narges Soltani & Jafar Sadeghi, 2017. "Convex cone-based ranking of decision-making units in DEA," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 861-880, July.
    44. Roman Vavrek, 2019. "Evaluation of the Impact of Selected Weighting Methods on the Results of the TOPSIS Technique," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1821-1843, November.
    45. Lahdelma, Risto & Salminen, Pekka & Kuula, Markku, 2003. "Testing the efficiency of two pairwise comparison methods in discrete multiple criteria problems," European Journal of Operational Research, Elsevier, vol. 145(3), pages 496-508, March.
    46. Kallio, Markku & Halme, Merja, 2013. "Cone contraction and reference point methods for multi-criteria mixed integer optimization," European Journal of Operational Research, Elsevier, vol. 229(3), pages 645-653.
    47. Branke, Juergen & Corrente, Salvatore & Greco, Salvatore & Słowiński, Roman & Zielniewicz, Piotr, 2016. "Using Choquet integral as preference model in interactive evolutionary multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 250(3), pages 884-901.
    48. Moshkovich, Helen M. & Mechitov, Alexander I. & Olson, David L., 2002. "Ordinal judgments in multiattribute decision analysis," European Journal of Operational Research, Elsevier, vol. 137(3), pages 625-641, March.

  25. Stanley Zionts & Jyrki Wallenius, 1983. "An Interactive Multiple Objective Linear Programming Method for a Class of Underlying Nonlinear Utility Functions," Management Science, INFORMS, vol. 29(5), pages 519-529, May.

    Cited by:

    1. Asim Roy & Jyrki Wallenius, 1991. "Nonlinear and unconstrained multiple‐objective optimization: Algorithm, computation, and application," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(4), pages 623-635, August.
    2. Homburg, Carsten, 1998. "Production planning with multiple objectives in decentralized organizations," International Journal of Production Economics, Elsevier, vol. 56(1), pages 243-252, September.
    3. Jaszkiewicz, Andrzej & Slowinski, Roman, 1999. "The `Light Beam Search' approach - an overview of methodology and applications," European Journal of Operational Research, Elsevier, vol. 113(2), pages 300-314, March.
    4. Selin Özpeynirci & Özgür Özpeynirci & Vincent Mousseau, 2018. "An interactive algorithm for multiple criteria constrained sorting problem," Annals of Operations Research, Springer, vol. 267(1), pages 447-466, August.
    5. Rios-Insua, Sixto & Mateos, Alfonso, 1998. "The utility efficient set and its interactive reduction," European Journal of Operational Research, Elsevier, vol. 105(3), pages 581-593, March.
    6. Homburg, Carsten, 1998. "Hierarchical multi-objective decision making," European Journal of Operational Research, Elsevier, vol. 105(1), pages 155-161, February.
    7. Huang, Zhimin & Li, Susan X. & Raghavan, Veeravalli & Bruce Sun, D., 1995. "Proper efficiency and cardinal utilities in multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 82(3), pages 476-489, May.
    8. Kaliszewski, Ignacy & Michalowski, Wojtek, 1999. "Searching for psychologically stable solutions of multiple criteria decision problems," European Journal of Operational Research, Elsevier, vol. 118(3), pages 549-562, November.
    9. Asim Roy & Patrick Mackin & Jyrki Wallenius & James Corner & Mark Keith & Gregory Schymik & Hina Arora, 2008. "An Interactive Search Method Based on User Preferences," Decision Analysis, INFORMS, vol. 5(4), pages 203-229, December.
    10. Alves, Maria Joao & Climaco, Joao, 2007. "A review of interactive methods for multiobjective integer and mixed-integer programming," European Journal of Operational Research, Elsevier, vol. 180(1), pages 99-115, July.
    11. Smeulders, Bart & Crama, Yves & Spieksma, Frits C.R., 2019. "Revealed preference theory: An algorithmic outlook," European Journal of Operational Research, Elsevier, vol. 272(3), pages 803-815.
    12. Angur, Madhukar G. & Lotfi, Vahid & Sarkis, Joseph, 1996. "A hybrid conjoint measurement and bi-criteria model for a two group negotiation problem," Socio-Economic Planning Sciences, Elsevier, vol. 30(3), pages 195-206, September.
    13. Josephine Gatti Schafer & Caleb T Gallemore, 2016. "Biases in multicriteria decision analysis: The case of environmental planning in Southern Nevada," Environment and Planning C, , vol. 34(8), pages 1652-1675, December.
    14. Banu Lokman & Murat Köksalan & Pekka J. Korhonen & Jyrki Wallenius, 2016. "An interactive algorithm to find the most preferred solution of multi-objective integer programs," Annals of Operations Research, Springer, vol. 245(1), pages 67-95, October.
    15. Hokkanen, Joonas & Lahdelma, Risto & Salminen, Pekka, 1999. "A multiple criteria decision model for analyzing and choosing among different development patterns for the Helsinki cargo harbor," Socio-Economic Planning Sciences, Elsevier, vol. 33(1), pages 1-23, March.
    16. Sun, Minghe, 2005. "Some issues in measuring and reporting solution quality of interactive multiple objective programming procedures," European Journal of Operational Research, Elsevier, vol. 162(2), pages 468-483, April.
    17. Gass, Saul I. & Roy, Pallabi Guha, 2003. "The compromise hypersphere for multiobjective linear programming," European Journal of Operational Research, Elsevier, vol. 144(3), pages 459-479, February.
    18. Soleimani-damaneh, Majid & Pourkarimi, Latif & Korhonen, Pekka J. & Wallenius, Jyrki, 2021. "An operational test for the existence of a consistent increasing quasi-concave value function," European Journal of Operational Research, Elsevier, vol. 289(1), pages 232-239.
    19. F B Abdelaziz & J M Martel & A Mselmi, 2004. "IMGD: an interactive method for multiobjective group decision aid," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(5), pages 464-474, May.
    20. Piotr Wojewnik & Tomasz Szapiro, 2010. "Bireference Procedure fBIP for Interactive Multicriteria Optimization with Fuzzy Coefficients," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(3), pages 169-193, June.
    21. Maciej Nowak & Tadeusz Trzaskalik, 2022. "A trade-off multiobjective dynamic programming procedure and its application to project portfolio selection," Annals of Operations Research, Springer, vol. 311(2), pages 1155-1181, April.
    22. Marco Aurélio Sernagiotto & Valério Rosset & Mariá C. V. Nascimento, 2022. "A novel multi-objective approach for link selection in aeronautical telecommunication networks," Annals of Operations Research, Springer, vol. 319(2), pages 1-31, December.
    23. M Köksalan & E Karasakal, 2006. "An interactive approach for multiobjective decision making," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 532-540, May.
    24. Ankur Sinha & Pekka Korhonen & Jyrki Wallenius, 2016. "Finding better alternatives than those considered in a multiple criteria data sample," Journal of Business Economics, Springer, vol. 86(1), pages 35-54, January.
    25. Nikolaos Argyris & Alec Morton & José Rui Figueira, 2014. "CUT: A Multicriteria Approach for Concavifiable Preferences," Operations Research, INFORMS, vol. 62(3), pages 633-642, June.
    26. Corrado Zoppi, 2014. "Does Landscape Protection Really Matter? An Assessment Based on Multicriteria Analysis," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2014(1 Suppl.), pages 47-69.
    27. Darko Božanić & Dragan Pamucar & Ibrahim Badi & Duško Tešić, 2023. "A decision support tool for oil spill response strategy selection: application of LBWA and Z MABAC methods," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 24-58, March.
    28. C. Oliveira & D. Coelho & C. H. Antunes, 2016. "Coupling input–output analysis with multiobjective linear programming models for the study of economy–energy–environment–social (E3S) trade-offs: a review," Annals of Operations Research, Springer, vol. 247(2), pages 471-502, December.
    29. V. Jog & I. Kaliszewski & W. Michalowski, 1998. "Using Trade-off Information in Attributes' Investing," Working Papers ir98019, International Institute for Applied Systems Analysis.
    30. Dirk Heyne & Lars Mönch, 2011. "An agent-based planning approach within the framework of distributed hierarchical enterprise management," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(2), pages 205-236, December.
    31. Aksoy, Yasemin & Butler, Timothy W. & Minor, Elliott D., 1996. "Comparative studies in interactive multiple objective mathematical programming," European Journal of Operational Research, Elsevier, vol. 89(2), pages 408-422, March.
    32. R. Ramesh & Mark H. Karwan & Stanley Zionts, 1989. "Interactive multicriteria linear programming: An extension of the method of Zionts and Wallenius," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(3), pages 321-335, June.
    33. Corner, J. L. & Buchanan, J. T., 1997. "Capturing decision maker preference: Experimental comparison of decision analysis and MCDM techniques," European Journal of Operational Research, Elsevier, vol. 98(1), pages 85-97, April.
    34. J. Cabello & M. Luque & F. Miguel & A. Ruiz & F. Ruiz, 2014. "A multiobjective interactive approach to determine the optimal electricity mix in Andalucía (Spain)," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 109-127, April.
    35. Aloysius, John A. & Davis, Fred D. & Wilson, Darryl D. & Ross Taylor, A. & Kottemann, Jeffrey E., 2006. "User acceptance of multi-criteria decision support systems: The impact of preference elicitation techniques," European Journal of Operational Research, Elsevier, vol. 169(1), pages 273-285, February.
    36. Park, K. Sam & Shin, Dong Eun, 2012. "Interactive multiobjective optimization approach to the input–output design of opening new branches," European Journal of Operational Research, Elsevier, vol. 220(2), pages 530-538.
    37. Siskos, Y. & Spyridakos, A., 1999. "Intelligent multicriteria decision support: Overview and perspectives," European Journal of Operational Research, Elsevier, vol. 113(2), pages 236-246, March.
    38. Arthur Jin Lin & Hai-Yen Chang, 2019. "Business Sustainability Performance Evaluation for Taiwanese Banks—A Hybrid Multiple-Criteria Decision-Making Approach," Sustainability, MDPI, vol. 11(8), pages 1-26, April.

  26. Hannele Wallenius & Jyrki Wallenius & Pentti Vartia, 1978. "An Approach to Solving Multiple Criteria Macroeconomic Policy Problems and an Application," Management Science, INFORMS, vol. 24(10), pages 1021-1030, June.

    Cited by:

    1. Asim Roy & Jyrki Wallenius, 1991. "Nonlinear and unconstrained multiple‐objective optimization: Algorithm, computation, and application," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(4), pages 623-635, August.
    2. Luque, M. & Marcenaro-Gutiérrez, O.D. & López-Agudo, L.A., 2015. "On the potential balance among compulsory education outcomes through econometric and multiobjective programming analysis," European Journal of Operational Research, Elsevier, vol. 241(2), pages 527-540.
    3. O. D. Marcenaro-Gutierrez & M. Luque & L. A. Lopez-Agudo, 2016. "Balancing Teachers’ Math Satisfaction and Other Indicators of the Education System’s Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1319-1348, December.
    4. Coleno, F. C. & Duru, M., 1999. "A model to find and test decision rules for turnout date and grazing area allocation for a dairy cow system in spring," Agricultural Systems, Elsevier, vol. 61(3), pages 151-164, September.
    5. B Cobacho & R Caballero & M González & J Molina, 2010. "Planning federal public investment in Mexico using multiobjective decision making," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(9), pages 1328-1339, September.
    6. Francisco J. André & Manuel Alejandro Cardenete, 2005. "Multicriteria Policy Making. Defining Efficient Policies in a General Equilibrium Model," Economic Working Papers at Centro de Estudios Andaluces E2005/04, Centro de Estudios Andaluces.

  27. Stanley Zionts & Jyrki Wallenius, 1976. "An Interactive Programming Method for Solving the Multiple Criteria Problem," Management Science, INFORMS, vol. 22(6), pages 652-663, February.

    Cited by:

    1. Kim, B. & Gel, E.S. & Fowler, J.W. & Carlyle, W.M. & Wallenius, J., 2006. "Evaluation of nondominated solution sets for k-objective optimization problems: An exact method and approximations," European Journal of Operational Research, Elsevier, vol. 173(2), pages 565-582, September.
    2. Asim Roy & Jyrki Wallenius, 1991. "Nonlinear and unconstrained multiple‐objective optimization: Algorithm, computation, and application," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(4), pages 623-635, August.
    3. Homburg, Carsten, 1998. "Production planning with multiple objectives in decentralized organizations," International Journal of Production Economics, Elsevier, vol. 56(1), pages 243-252, September.
    4. Andonegi, Aitor & Garmendia, Eneko & Aldezabal, Arantza, 2021. "Social multi-criteria evaluation for managing biodiversity conservation conflicts," Land Use Policy, Elsevier, vol. 109(C).
    5. Claude Cohen & Barry Robinson, 1976. "An Integrated System for the Interactive Nonlinear Programming Computations," Discussion Papers 232, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    6. Rongrong Li & Yee Leung & Hui Lin & Bo Huang, 2013. "An adaptive compromise programming method for multi-objective path optimization," Journal of Geographical Systems, Springer, vol. 15(2), pages 211-228, April.
    7. Tavana, Madjid & Ebrahimnejad, Ali & Santos-Arteaga, Francisco J. & Mansourzadeh, Seyed Mehdi & Matin, Reza Kazemi, 2018. "A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 70-89.
    8. Luque, Mariano & Ruiz, Francisco & Steuer, Ralph E., 2010. "Modified interactive Chebyshev algorithm (MICA) for convex multiobjective programming," European Journal of Operational Research, Elsevier, vol. 204(3), pages 557-564, August.
    9. Robert F. Dell & Mark H. Karwan, 1990. "An interactive MCDM weight space reduction method utilizing a tchebycheff utility function," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(2), pages 263-277, April.
    10. G R Jahanshahloo & M Zohrehbandian & A Alinezhad & S Abbasian Naghneh & H Abbasian & R Kiani Mavi, 2011. "Finding common weights based on the DM's preference information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1796-1800, October.
    11. Homburg, Carsten, 1998. "Hierarchical multi-objective decision making," European Journal of Operational Research, Elsevier, vol. 105(1), pages 155-161, February.
    12. Morris Hill & Elia Werczberger, 1978. "Goal Programming and the Goals-Achievement Matrix," International Regional Science Review, , vol. 3(2), pages 165-181, December.
    13. Takeda, Eiji & Yu, Po-Lung, 1995. "Assessing priority weights from subsets of pairwise comparisons in multiple criteria optimization problems," European Journal of Operational Research, Elsevier, vol. 86(2), pages 315-331, October.
    14. Fowler, John W. & Gel, Esma S. & Köksalan, Murat M. & Korhonen, Pekka & Marquis, Jon L. & Wallenius, Jyrki, 2010. "Interactive evolutionary multi-objective optimization for quasi-concave preference functions," European Journal of Operational Research, Elsevier, vol. 206(2), pages 417-425, October.
    15. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & Spengler, T., 2007. "A Methodology for Assessing Eco-Efficiency in Logistics Networks," ERIM Report Series Research in Management ERS-2007-037-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Han, Qingye & Zhu, Yuming & Ke, Ginger Y. & Hipel, Keith W., 2018. "An ordinal classification of brownfield remediation projects in China for the allocation of government funding," Land Use Policy, Elsevier, vol. 77(C), pages 220-230.
    17. Asim Roy & Patrick Mackin & Jyrki Wallenius & James Corner & Mark Keith & Gregory Schymik & Hina Arora, 2008. "An Interactive Search Method Based on User Preferences," Decision Analysis, INFORMS, vol. 5(4), pages 203-229, December.
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    1. Jaszkiewicz, Andrzej & Slowinski, Roman, 1999. "The `Light Beam Search' approach - an overview of methodology and applications," European Journal of Operational Research, Elsevier, vol. 113(2), pages 300-314, March.
    2. Downing, C. E. & Ringuest, J. L., 1998. "An experimental evaluation of the efficacy of four multi-objective linear programming algorithms," European Journal of Operational Research, Elsevier, vol. 104(3), pages 549-558, February.
    3. Tunjo Perić & Zoran Babić & Josip Matejaš, 2018. "Comparative analysis of application efficiency of two iterative multi objective linear programming methods (MP method and STEM method)," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 565-583, September.
    4. Sahar Mirzaee & David Fannon & Matthias Ruth, 2019. "A comparison of preference elicitation methods for multi-criteria design decisions about resilient and sustainable buildings," Environment Systems and Decisions, Springer, vol. 39(4), pages 439-453, December.
    5. L D Hopkins, 1984. "Evaluation of Methods for Exploring Ill-Defined Problems," Environment and Planning B, , vol. 11(3), pages 339-348, September.
    6. Klimberg, Ronald & Cohen, Robert M., 1999. "Experimental evaluation of a graphical display system to visualizing multiple criteria solutions," European Journal of Operational Research, Elsevier, vol. 119(1), pages 191-208, November.
    7. Ann Davey & David Olson, 1998. "Multiple Criteria Decision Making Models in Group Decision Support," Group Decision and Negotiation, Springer, vol. 7(1), pages 55-75, January.
    8. Lakshminarayan, P. G., 1993. "Tradeoffs in balancing multiple objectives of an integrated agricultural economic and environmental system," ISU General Staff Papers 1993010108000011833, Iowa State University, Department of Economics.
    9. Aksoy, Yasemin & Butler, Timothy W. & Minor, Elliott D., 1996. "Comparative studies in interactive multiple objective mathematical programming," European Journal of Operational Research, Elsevier, vol. 89(2), pages 408-422, March.
    10. Michael Brusco & Stephanie Stahl, 2001. "An interactive multiobjective programming approach to combinatorial data analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 5-24, March.
    11. Kalu, Timothy Ch. U., 1999. "An algorithm for systems welfare interactive goal programming modelling," European Journal of Operational Research, Elsevier, vol. 116(3), pages 508-529, August.
    12. Aloysius, John A. & Davis, Fred D. & Wilson, Darryl D. & Ross Taylor, A. & Kottemann, Jeffrey E., 2006. "User acceptance of multi-criteria decision support systems: The impact of preference elicitation techniques," European Journal of Operational Research, Elsevier, vol. 169(1), pages 273-285, February.
    13. Corrente, Salvatore & Greco, Salvatore & Matarazzo, Benedetto & Słowiński, Roman, 2024. "Explainable interactive evolutionary multiobjective optimization," Omega, Elsevier, vol. 122(C).

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