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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. 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.
    2. 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.
    3. 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".
    4. 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".
    5. Travis Adams & Andrea Ajello & Diego Silva & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Papers 2305.16164, arXiv.org.
    6. Paola Cerchiello & Giancarlo Nicola, 2017. "Assessing News Contagion in Finance," DEM Working Papers Series 139, University of Pavia, Department of Economics and Management.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. Agam Shah & Sudheer Chava, 2023. "Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks," Papers 2305.16633, arXiv.org.
    13. 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.
    14. Fabian Billert & Stefan Conrad, 2024. "A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40," Papers 2409.20397, arXiv.org.
    15. 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.
    16. 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.
    17. Priyank Sonkiya & Vikas Bajpai & Anukriti Bansal, 2021. "Stock price prediction using BERT and GAN," Papers 2107.09055, arXiv.org.
    18. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    19. Alex Kim & Sangwon Yoon, 2023. "Corporate Bankruptcy Prediction with Domain-Adapted BERT," Papers 2312.03194, arXiv.org.
    20. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
    21. 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.
    22. 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.
    23. 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".
    24. 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.
    25. 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.
    26. 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).
    27. Tingsong Jiang & Andy Zeng, 2023. "Financial sentiment analysis using FinBERT with application in predicting stock movement," Papers 2306.02136, arXiv.org.
    28. 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.
    29. 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.
    30. Paola Cerchiello & Giancarlo Nicola, 2018. "Assessing News Contagion in Finance," Econometrics, MDPI, vol. 6(1), pages 1-19, February.
    31. Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez, 2024. "Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning," Papers 2409.11408, arXiv.org.
    32. Bledar Fazlija & Pedro Harder, 2022. "Using Financial News Sentiment for Stock Price Direction Prediction," Mathematics, MDPI, vol. 10(13), pages 1-20, June.
    33. Jean Lee & Nicholas Stevens & Soyeon Caren Han & Minseok Song, 2024. "A Survey of Large Language Models in Finance (FinLLMs)," Papers 2402.02315, arXiv.org.
    34. 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.
    35. 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.
    36. 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.).
    37. 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.
    38. Leippold, Markus, 2023. "Sentiment spin: Attacking financial sentiment with GPT-3," Finance Research Letters, Elsevier, vol. 55(PB).
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. Moritz Scherrmann, 2023. "Multi-Label Topic Model for Financial Textual Data," Papers 2311.07598, arXiv.org.
    44. Raeid Saqur & Ken Kato & Nicholas Vinden & Frank Rudzicz, 2024. "NIFTY Financial News Headlines Dataset," Papers 2405.09747, arXiv.org.
    45. 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.
    46. 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.
    47. 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.
    48. 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.

  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. 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.
    3. 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.
    4. 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.
    5. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the Most Preferred Solution in Value Efficiency Analysis," Discussion Paper Series 2022_05, Department of Economics, University of Macedonia, revised Jul 2022.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Cinzia Daraio & Léopold Simar, 2016. "Efficiency and benchmarking with directional distances: a data-driven approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(7), pages 928-944, July.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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).
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. Panagiotis Ravanos & Giannis Karagiannis, 2022. "On VEA, Production Trade-offs and Weight Restrictions," Discussion Paper Series 2022_04, Department of Economics, University of Macedonia, revised Jun 2022.
    32. Muhammad Dimyati & Adhi Indra Hermanu, 2023. "Evaluating Research Efficiency in Indonesian Higher Education Institution," Evaluation Review, , vol. 47(2), pages 155-181, April.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. Lee, Hakyeon & Shin, Juneseuk, 2014. "Measuring journal performance for multidisciplinary research: An efficiency perspective," Journal of Informetrics, Elsevier, vol. 8(1), pages 77-88.
    38. Räty, Tarmo & Bondas, Micke, 2008. "A Publication Activity Model for Finnish Universities," Discussion Papers 448, VATT Institute for Economic Research.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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).
    44. 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.
    45. 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.
    46. 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.
    47. Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    48. 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.
    49. 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.
    50. Panagiotis Ravanos & Giannis Karagiannis, 2021. "Using VEA to assess effectiveness in the development of human capabilities," Economic Change and Restructuring, Springer, vol. 54(1), pages 75-99, February.
    51. 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.
    52. Casu, B. & Thanassoulis, E., 2006. "Evaluating cost efficiency in central administrative services in UK universities," Omega, Elsevier, vol. 34(5), pages 417-426, October.
    53. 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.
    54. 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.
    55. Lu, Wen-Min, 2012. "Intellectual capital and university performance in Taiwan," Economic Modelling, Elsevier, vol. 29(4), pages 1081-1089.
    56. 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.
    57. Førsund, Finn R., 2017. "Measuring effectiveness of production in the public sector," Omega, Elsevier, vol. 73(C), pages 93-103.
    58. 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).
    59. 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).
    60. 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.
    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. 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.
    3. 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.
    4. P. Korhonen & A. Siljamaeki & M. Soismaa, 1998. "Practical Aspects of Value Efficiency Analysis," Working Papers ir98042, International Institute for Applied Systems Analysis.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Oh, Inha & Lee, Jeong-Dong & Hwang, Seogwon & Heshmati, Almas, 2006. "Analysis of Product Efficiency in the Korean Automobile Market from a Consumer’s Perspective," Ratio Working Papers 95, The Ratio Institute.
    10. Bogetoft, Peter & Hougaard, Jens Leth, 2001. "Rational Inefficiencies," Unit of Economics Working Papers 24191, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    11. T. Joro, 1998. "Models for Identifying Target Units in Data Envelopment Analysis: Comparison and Extension," Working Papers ir98055, International Institute for Applied Systems Analysis.
    12. 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.
    13. Peter Bogetoft & Kurt Nielsen, 2005. "Internet Based Benchmarking," Group Decision and Negotiation, Springer, vol. 14(3), pages 195-215, May.
    14. 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.
    15. 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.
    16. 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).

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. 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.
    3. 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.

  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. 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.
    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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    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. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    2. 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.
    3. 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.

  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. Priyanka Majumder & Valerio Antonio Pamplona Salomon, 2024. "Intuitionistic Fuzzy Ordinal Priority Approach with Grey Relational Analysis," Mathematics, MDPI, vol. 12(19), pages 1-15, October.
    2. Gebhard Geiger, 2012. "Multi-attribute non-expected utility," Annals of Operations Research, Springer, vol. 196(1), pages 263-292, July.
    3. David E. Allen & Michael McAleer & Abhay K. Singh, 2017. "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Tinbergen Institute Discussion Papers 17-013/III, Tinbergen Institute.
    4. 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).
    5. 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.
    6. 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.
    7. Featherman, Mauricio & Jia, Shizhen (Jasper) & Califf, Christopher B. & Hajli, Nick, 2021. "The impact of new technologies on consumers beliefs: Reducing the perceived risks of electric vehicle adoption," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    8. 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.
    9. 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.
    10. Vincent Martinet, 2009. "Defining sustainability objectives," EconomiX Working Papers 2009-7, University of Paris Nanterre, EconomiX.
    11. Y. Chen & D. Marc Kilgour & Keith W. Hipel, 2012. "A Decision Rule Aggregation Approach to Multiple Criteria-Multiple Participant Sorting," Group Decision and Negotiation, Springer, vol. 21(5), pages 727-745, September.
    12. James S. Dyer & James E. Smith, 2021. "Innovations in the Science and Practice of Decision Analysis: The Role of Management Science," Management Science, INFORMS, vol. 67(9), pages 5364-5378, September.
    13. Hocine, Amine & Kouaissah, Noureddine, 2020. "XOR analytic hierarchy process and its application in the renewable energy sector," Omega, Elsevier, vol. 97(C).
    14. Ziho Kang & Thomas Morin, 2016. "Multi-Attribute Decision Making in a Bidding Game with Imperfect Information and Uncertainty," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 63-81, January.
    15. Jie Wu & Liang Liang, 2012. "A multiple criteria ranking method based on game cross-evaluation approach," Annals of Operations Research, Springer, vol. 197(1), pages 191-200, August.
    16. Aleksander Banasik & Jacqueline M. Bloemhof-Ruwaard & Argyris Kanellopoulos & G. D. H. Claassen & Jack G. A. J. Vorst, 2018. "Multi-criteria decision making approaches for green supply chains: a review," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 366-396, September.
    17. S. G. Li & Y. Q. Zhang & Z. X. Yu & F. Liu, 2021. "Economical user-generated content (UGC) marketing for online stores based on a fine-grained joint model of the consumer purchase decision process," Electronic Commerce Research, Springer, vol. 21(4), pages 1083-1112, December.
    18. Piercy, Craig A. & Steuer, Ralph E., 2019. "Reducing wall-clock time for the computation of all efficient extreme points in multiple objective linear programming," European Journal of Operational Research, Elsevier, vol. 277(2), pages 653-666.
    19. 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.
    20. Milakis, Dimitris & Athanasopoulos, Konstantinos, 2014. "What about people in cycle network planning? applying participative multicriteria GIS analysis in the case of the Athens metropolitan cycle network," Journal of Transport Geography, Elsevier, vol. 35(C), pages 120-129.
    21. David Ruiz Bargueño & Valerio Antonio Pamplona Salomon & Fernando Augusto Silva Marins & Pedro Palominos & Luis Armando Marrone, 2021. "State of the Art Review on the Analytic Hierarchy Process and Urban Mobility," Mathematics, MDPI, vol. 9(24), pages 1-13, December.
    22. 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).
    23. Tamara Sheldon & Rubal Dua, 2019. "The Effectiveness of China’s Plug-In Electric Vehicle Subsidy," Discussion Papers ks--2019-dp77, King Abdullah Petroleum Studies and Research Center.
    24. 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.
    25. 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.
    26. Kaveh Madani & Majid Sheikhmohammady & Soroush Mokhtari & Mojtaba Moradi & Petros Xanthopoulos, 2014. "Social Planner’s Solution for the Caspian Sea Conflict," Group Decision and Negotiation, Springer, vol. 23(3), pages 579-596, May.
    27. 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.
    28. Lorentziadis, Panos L., 2020. "Competitive bidding in asymmetric multidimensional public procurement," European Journal of Operational Research, Elsevier, vol. 282(1), pages 211-220.
    29. Ru, Zice & Liu, Jiapeng & Kadziński, Miłosz & Liao, Xiuwu, 2023. "Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences," European Journal of Operational Research, Elsevier, vol. 311(2), pages 596-616.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Anderson Lucas Carneiro de Lima da Silva & Ana Paula Cabral Seixas Costa & Adiel Teixeira de Almeida, 2022. "Exploring cognitive aspects of FITradeoff method using neuroscience tools," Annals of Operations Research, Springer, vol. 312(2), pages 1147-1169, May.
    37. Chai, Junyi & Ngai, Eric W.T., 2015. "Multi-perspective strategic supplier selection in uncertain environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 215-225.
    38. 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.
    39. 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).
    40. Wenshuai Wu & Yi Peng, 2016. "Extension of grey relational analysis for facilitating group consensus to oil spill emergency management," Annals of Operations Research, Springer, vol. 238(1), pages 615-635, March.
    41. Chunxiao Song & Yue Rong & Ruifeng Liu & Les Oxley & Hengyun Ma, 2022. "Testing the Effects of Water-Saving Technologies Adapted to Drought: Empirical Evidence from the Huang-Huai-Hai Region in China," Land, MDPI, vol. 11(12), pages 1-22, November.
    42. 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.
    43. Korhonen, Pekka J. & Wallenius, Jyrki & Genc, Tolga & Xu, Peng, 2021. "On rational behavior in multi-attribute riskless choice," European Journal of Operational Research, Elsevier, vol. 288(1), pages 331-342.
    44. 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.
    45. 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.
    46. Nixon, J.D. & Dey, P.K. & Davies, P.A., 2010. "Which is the best solar thermal collection technology for electricity generation in north-west India? Evaluation of options using the analytical hierarchy process," Energy, Elsevier, vol. 35(12), pages 5230-5240.
    47. 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.
    48. Xu, Xun & Zeng, Shuo & He, Yuanjie, 2017. "The influence of e-services on customer online purchasing behavior toward remanufactured products," International Journal of Production Economics, Elsevier, vol. 187(C), pages 113-125.
    49. Xiaoping Li & Dan Zhu, 2011. "Object technology software selection: a case study," Annals of Operations Research, Springer, vol. 185(1), pages 5-24, May.
    50. 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.
    51. 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.
    52. 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).
    53. Dong, Yucheng & Liu, Yating & Liang, Haiming & Chiclana, Francisco & Herrera-Viedma, Enrique, 2018. "Strategic weight manipulation in multiple attribute decision making," Omega, Elsevier, vol. 75(C), pages 154-164.
    54. 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.
    55. 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.
    56. Luiz Gomes & Maria Machado & Luis Rangel, 2013. "Behavioral multi-criteria decision analysis: the TODIM method with criteria interactions," Annals of Operations Research, Springer, vol. 211(1), pages 531-548, December.
    57. Guo, Mengzhuo & Zhang, Qingpeng & Liao, Xiuwu & Chen, Frank Youhua & Zeng, Daniel Dajun, 2021. "A hybrid machine learning framework for analyzing human decision-making through learning preferences," Omega, Elsevier, vol. 101(C).
    58. 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.
    59. Dong, Qingxing & Cooper, Orrin, 2016. "An orders-of-magnitude AHP supply chain risk assessment framework," International Journal of Production Economics, Elsevier, vol. 182(C), pages 144-156.
    60. 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.
    61. 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.
    62. Zhang, Hengjie & Dong, Yucheng & Chiclana, Francisco & Yu, Shui, 2019. "Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design," European Journal of Operational Research, Elsevier, vol. 275(2), pages 580-598.
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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.

    Cited by:

    1. 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.
    2. 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.

  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. 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.
    2. Schellhorn, Henry, 2011. "A trading mechanism contingent on several indices," European Journal of Operational Research, Elsevier, vol. 213(3), pages 551-558, September.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Lorentziadis, Panos L., 2020. "Competitive bidding in asymmetric multidimensional public procurement," European Journal of Operational Research, Elsevier, vol. 282(1), pages 211-220.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    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. 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).
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Wang, Hong, 2020. "Quality manipulation and limit corruption in competitive procurement," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1124-1135.
    9. 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.
    10. Domenico Colucci & Nicola Doni & Vincenzo Valori, 2019. "Information revelation in procurement auctions: an equivalence result," Discussion Papers 2019/248, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    11. 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.
    12. 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.
    13. 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".
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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).
    22. 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.
    23. 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.
    24. Jin, Mingzhou & Junfang Yu, Andrew, 2015. "Procurement auctions and supply chain performance," International Journal of Production Economics, Elsevier, vol. 162(C), pages 192-200.
    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.

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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. P P Sutton & R H Green, 2007. "Choice is a value statement. On inferring optimal multiple attribute portfolios from non-optimal nominations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1526-1533, November.
    3. 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.
    4. 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.
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    8. Manel Baucells & Rakesh K. Sarin, 2003. "Group Decisions with Multiple Criteria," Management Science, INFORMS, vol. 49(8), pages 1105-1118, August.

  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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    3. 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.
    4. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the Most Preferred Solution in Value Efficiency Analysis," Discussion Paper Series 2022_05, Department of Economics, University of Macedonia, revised Jul 2022.
    5. 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.
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    7. Halme, Merja & Korhonen, Pekka, 2000. "Restricting weights in value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 126(1), pages 175-188, October.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Sebastián Lozano & Gabriel Villa, 2004. "Centralized Resource Allocation Using Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 22(1), pages 143-161, July.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Stewart, Theodor J., 2010. "Goal directed benchmarking for organizational efficiency," Omega, Elsevier, vol. 38(6), pages 534-539, December.
    28. 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.
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    30. 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).
    31. Panagiotis Ravanos & Giannis Karagiannis, 2022. "On VEA, Production Trade-offs and Weight Restrictions," Discussion Paper Series 2022_04, Department of Economics, University of Macedonia, revised Jun 2022.
    32. Soushi Suzuki & Peter Nijkamp, 2008. "A Generalized Goals-achievement Model in Data Envelopment Analysis," Tinbergen Institute Discussion Papers 08-110/3, Tinbergen Institute.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. Soushi Suzuki, 2014. "Improvement restriction data envelopment analysis for new energy in Japan," ERSA conference papers ersa14p223, European Regional Science Association.
    49. Ruiz, José L. & Sirvent, Inmaculada, 2019. "Performance evaluation through DEA benchmarking adjusted to goals," Omega, Elsevier, vol. 87(C), pages 150-157.
    50. 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.
    51. 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.
    52. 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).
    53. 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.
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. Oh, Inha & Lee, Jeong-Dong & Hwang, Seogwon & Heshmati, Almas, 2006. "Analysis of Product Efficiency in the Korean Automobile Market from a Consumer’s Perspective," Ratio Working Papers 95, The Ratio Institute.
    59. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
    60. Bogetoft, Peter & Hougaard, Jens Leth, 2001. "Rational Inefficiencies," Unit of Economics Working Papers 24191, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    61. 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.
    62. 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.
    63. Toloo, Mehdi & Tone, Kaoru & Izadikhah, Mohammad, 2023. "Selecting slacks-based data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1302-1318.
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    66. 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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    76. Sarrico, C. S. & Dyson, R. G., 2004. "Restricting virtual weights in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 159(1), pages 17-34, November.
    77. 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).
    78. 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.
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    81. 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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    1. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K., 2019. "Reformulation of Network Data Envelopment Analysis models using a common modelling framework," European Journal of Operational Research, Elsevier, vol. 278(2), pages 472-480.
    2. 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.
    3. P. Korhonen, 1997. "Searching the Efficient Frontier in Data Envelopment Analysis," Working Papers ir97079, International Institute for Applied Systems Analysis.
    4. Halme, Merja & Korhonen, Pekka, 2000. "Restricting weights in value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 126(1), pages 175-188, October.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. M Zohrehbandian & A Makui & A Alinezhad, 2010. "A compromise solution approach for finding common weights in DEA: an improvement to Kao and Hung's approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 604-610, April.
    21. 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.
    22. Stewart, Theodor J., 2010. "Goal directed benchmarking for organizational efficiency," Omega, Elsevier, vol. 38(6), pages 534-539, December.
    23. 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.
    24. 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).
    25. 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.
    26. Pekka Korhonen & Sari Stenfors & Mikko Syrjänen, 2003. "Multiple Objective Approach as an Alternative to Radial Projection in DEA," Journal of Productivity Analysis, Springer, vol. 20(3), pages 305-321, November.
    27. 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.
    28. Soushi Suzuki & Peter Nijkamp, 2008. "A Generalized Goals-achievement Model in Data Envelopment Analysis," Tinbergen Institute Discussion Papers 08-110/3, Tinbergen Institute.
    29. 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.
    30. 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.
    31. P. Korhonen & A. Siljamaeki & M. Soismaa, 1998. "Practical Aspects of Value Efficiency Analysis," Working Papers ir98042, International Institute for Applied Systems Analysis.
    32. 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.
    33. André, Francisco J. & Herrero, Inés & Riesgo, Laura, 2010. "A modified DEA model to estimate the importance of objectives with an application to agricultural economics," Omega, Elsevier, vol. 38(5), pages 371-382, October.
    34. 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.
    35. Aparicio, Juan & Garcia-Nove, Eva M. & Kapelko, Magdalena & Pastor, Jesus T., 2017. "Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis," Omega, Elsevier, vol. 72(C), pages 1-14.
    36. Cook, Wade D. & Green, Rodney H., 2000. "Project prioritization: a resource-constrained data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 34(2), pages 85-99, June.
    37. 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.
    38. 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).
    39. Halme, Merja & Joro, Tarja & Koivu, Matti, 2002. "Dealing with interval scale data in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 137(1), pages 22-27, February.
    40. Soushi Suzuki, 2014. "Improvement restriction data envelopment analysis for new energy in Japan," ERSA conference papers ersa14p223, European Regional Science Association.
    41. 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.
    42. Y-W Chen & M Larbani & Y-P Chang, 2009. "Multiobjective data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1556-1566, November.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. Thomas, Peter & Chan, Yupo & Lehmkuhl, Lee & Nixon, William, 2002. "Obnoxious-facility location and data-envelopment analysis: A combined distance-based formulation," European Journal of Operational Research, Elsevier, vol. 141(3), pages 495-514, September.
    48. 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.
    49. T. Joro, 1998. "Models for Identifying Target Units in Data Envelopment Analysis: Comparison and Extension," Working Papers ir98055, International Institute for Applied Systems Analysis.
    50. Peter Bogetoft & Kurt Nielsen, 2005. "Internet Based Benchmarking," Group Decision and Negotiation, Springer, vol. 14(3), pages 195-215, May.
    51. 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.
    52. Somayeh Razipour-GhalehJough & Farhad Hosseinzadeh Lotfi & Gholamreza Jahanshahloo & Mohsen Rostamy-malkhalifeh & Hamid Sharafi, 2020. "Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis," Annals of Operations Research, Springer, vol. 288(2), pages 755-787, May.
    53. Pekka Korhonen & Mikko Syrjänen, 2004. "Resource Allocation Based on Efficiency Analysis," Management Science, INFORMS, vol. 50(8), pages 1134-1144, August.
    54. 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.
    55. Ehrgott, Matthias & Tind, Jørgen, 2009. "Column generation with free replicability in DEA," Omega, Elsevier, vol. 37(5), pages 943-950, October.
    56. Whittaker, Gerald & Confesor Jr., Remegio & Griffith, Stephen M. & Färe, Rolf & Grosskopf, Shawna & Steiner, Jeffrey J. & Mueller-Warrant, George W. & Banowetz, Gary M., 2009. "A hybrid genetic algorithm for multiobjective problems with activity analysis-based local search," European Journal of Operational Research, Elsevier, vol. 193(1), pages 195-203, February.
    57. Yang, Jian-Bo & Wong, Brandon Y.H. & Xu, Dong-Ling & Stewart, Theodor J., 2009. "Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods," European Journal of Operational Research, Elsevier, vol. 195(1), pages 205-222, May.
    58. 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.
    59. 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.
    60. 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.
    61. Suzuki, Soushi & Nijkamp, Peter & Rietveld, Piet & Pels, Eric, 2010. "A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1104-1115, December.
    62. 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.
    63. J. Vakili, 2017. "New Models for Computing the Distance of DMUs to the Weak Efficient Boundary of Convex and Nonconvex PPSs in DEA," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(06), pages 1-20, December.
    64. Francisco J. André & Inés Herrero & Laura Riesgo, 2007. "Using a modified DEA model to estimate the importance of objectives. An application to agricultural economics," Working Papers 07.09, Universidad Pablo de Olavide, Department of Economics.
    65. 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.
    66. Francisco J. André & Inés Herrero & Laura Riesgo, 2004. "Using DEA to estimate the importance of objectives for decision makers," Economic Working Papers at Centro de Estudios Andaluces E2004/50, Centro de Estudios Andaluces.
    67. Kleine, A., 2004. "A general model framework for DEA," Omega, Elsevier, vol. 32(1), pages 17-23, February.
    68. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.
    69. 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.
    70. 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.
    71. Adit Chopra, 2020. "A Data Envelopment Analysis Approach to Benchmark the Performance of Mutual Funds in India," Papers 2008.10952, arXiv.org.
    72. 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).
    73. Soushi Suzuki & Peter Nijkamp, 2013. "A Stepwise Efficiency Improvement DEA Model for Airport Management with a Fixed Runway Capacity," Tinbergen Institute Discussion Papers 13-105/VIII, Tinbergen Institute.

  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. 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.
    5. May Tajima & Niall M. Fraser, 2001. "Logrolling Procedure for Multi-Issue Negotiation," Group Decision and Negotiation, Springer, vol. 10(3), pages 217-235, May.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.

  17. 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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    1. Stenfors, Sari & Tanner, Leena & Syrjanen, Mikko & Seppala, Tomi & Haapalinna, Ilkka, 2007. "Executive views concerning decision support tools," European Journal of Operational Research, Elsevier, vol. 181(2), pages 929-938, September.
    2. 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.
    3. 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.

  18. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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..
    7. 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.
    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.

  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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    1. 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.
    2. Meløn, Mønica García & Aragonés Beltran, Pablo & Carmen González Cruz, M., 2008. "An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study," Omega, Elsevier, vol. 36(5), pages 754-765, October.
    3. Mustafa, A. & Goh, M., 1996. "Multi-criterion models for higher education administration," Omega, Elsevier, vol. 24(2), pages 167-178, April.

  20. 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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    2. Salo, Ahti A., 1995. "Interactive decision aiding for group decision support," European Journal of Operational Research, Elsevier, vol. 84(1), pages 134-149, July.
    3. 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.
    4. 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.
    5. 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.
    6. Giovanni Circella, 2006. "Towards the adoption of technological innovations: decision processes in transport policy definition," ERSA conference papers ersa06p556, European Regional Science Association.
    7. Vetschera, Rudolf, 1991. "A preference-preserving projection technique for MCDM," Discussion Papers, Series I 256, University of Konstanz, Department of Economics.
    8. 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.
    9. 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.
    10. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. V. Jog & I. Kaliszewski & W. Michalowski, 1998. "Using Trade-off Information in Attributes' Investing," Working Papers ir98019, International Institute for Applied Systems Analysis.
    18. 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.
    19. 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.
    20. 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.
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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. Yazdi, Amir Karbassi & Wanke, Peter Fernandes & Hanne, Thomas & Abdi, Farshid & Sarfaraz, Amir Homayoun, 2022. "Supplier selection in the oil & gas industry: A comprehensive approach for Multi-Criteria Decision Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
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    52. 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.
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    Cited by:

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

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Ramanathan, R., 1997. "Stochastic decision making using multiplicative AHP," European Journal of Operational Research, Elsevier, vol. 97(3), pages 543-549, March.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Xiaoping Li & Dan Zhu, 2011. "Object technology software selection: a case study," Annals of Operations Research, Springer, vol. 185(1), pages 5-24, May.
    21. 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.
    22. 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.
    23. 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.
    24. Nowak, Maciej, 2007. "Aspiration level approach in stochastic MCDM problems," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1626-1640, March.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
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    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
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    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. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Homburg, Carsten, 1998. "Hierarchical multi-objective decision making," European Journal of Operational Research, Elsevier, vol. 105(1), pages 155-161, February.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. V. Jog & I. Kaliszewski & W. Michalowski, 1998. "Using Trade-off Information in Attributes' Investing," Working Papers ir98019, International Institute for Applied Systems Analysis.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  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. 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. 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.
    4. Wan S. Shin & Jung J. Lee, 1992. "A multi‐run interactive method for bicriterion optimization problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(1), pages 115-135, February.
    5. Joan S. Steinberg & Larry R. Arnold, 1981. "An Interactive Approach For Optimizing Debt Repayment Schedules," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 4(2), pages 137-146, June.
    6. 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.
    7. Wang, Jingguo & Zionts, Stanley, 2008. "Negotiating wisely: Considerations based on MCDM/MAUT," European Journal of Operational Research, Elsevier, vol. 188(1), pages 191-205, July.
    8. Homburg, Carsten, 1998. "Production planning with multiple objectives in decentralized organizations," International Journal of Production Economics, Elsevier, vol. 56(1), pages 243-252, September.
    9. Andonegi, Aitor & Garmendia, Eneko & Aldezabal, Arantza, 2021. "Social multi-criteria evaluation for managing biodiversity conservation conflicts," Land Use Policy, Elsevier, vol. 109(C).
    10. El-Hady Kassem, Mohamed Abd, 2001. "Interactive stability of vector optimization problems," European Journal of Operational Research, Elsevier, vol. 134(3), pages 616-622, November.
    11. 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.
    12. Psarras, J. & Capros, P. & Samouilidis, J.-E., 1990. "4.5. Multiobjective programming," Energy, Elsevier, vol. 15(7), pages 583-605.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Wang, Jingguo & Zionts, Stanley, 2006. "The aspiration level interactive method (AIM) reconsidered: Robustness of solutions," European Journal of Operational Research, Elsevier, vol. 175(2), pages 948-958, December.
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    1. L D Hopkins, 1984. "Evaluation of Methods for Exploring Ill-Defined Problems," Environment and Planning B, , vol. 11(3), pages 339-348, September.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Corrente, Salvatore & Greco, Salvatore & Matarazzo, Benedetto & Słowiński, Roman, 2024. "Explainable interactive evolutionary multiobjective optimization," Omega, Elsevier, vol. 122(C).
    13. 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.

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