IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v248y2016i3p1051-1065.html
   My bibliography  Save this article

FLAS: Fuzzy lung allocation system for US-based transplantations

Author

Listed:
  • Al-Ebbini, Lina
  • Oztekin, Asil
  • Chen, Yao

Abstract

This paper presents a fuzzy lung allocation system (FLAS) in order to determine which potential recipients would receive a lung for transplantation when it becomes available in the USA. The developed system deals with the vagueness and fuzziness of the decision making of the medical experts in order to achieve accurate lung allocation processes in terms of transplant survival time and functional status after transplantation. The proposed approach is based on a real data set from the United Network for Organ Sharing (UNOS) to investigate how well it mimics the experience of transplant physicians in the field of lung allocation. The results are very promising in terms of both prediction accuracy (with an R2 value of 83.2 percent and an overall accuracy of 82.1 percent) along with better interpretation capabilities and hence are superior to the existing techniques in literature. Furthermore, the proposed decision process provides a more effective (i.e. accurate), time-efficient, and systematic decision support tool for this problem with two criteria being considered i.e. graft survival time and functional status after transplantation.

Suggested Citation

  • Al-Ebbini, Lina & Oztekin, Asil & Chen, Yao, 2016. "FLAS: Fuzzy lung allocation system for US-based transplantations," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1051-1065.
    • Handle: RePEc:eee:ejores:v:248:y:2016:i:3:p:1051-1065
    DOI: 10.1016/j.ejor.2015.08.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221715007171
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2015.08.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jiménez, Antonio & Mateos, Alfonso & Ríos-Insua, Sixto, 2009. "Missing consequences in multiattribute utility theory," Omega, Elsevier, vol. 37(2), pages 395-410, April.
    2. Nakandala, Dilupa & Samaranayake, Premaratne & Lau, H.C.W., 2013. "A fuzzy-based decision support model for monitoring on-time delivery performance: A textile industry case study," European Journal of Operational Research, Elsevier, vol. 225(3), pages 507-517.
    3. Hassanzadeh, Farhad & Collan, Mikael & Modarres, Mohammad, 2011. "A technical note on "A fuzzy set approach for R&D portfolio selection using a real options valuation model" by Wang and Hwang (2007)," Omega, Elsevier, vol. 39(4), pages 464-465, August.
    4. Ramli, Azizul Azhar & Watada, Junzo & Pedrycz, Witold, 2011. "Real-time fuzzy regression analysis: A convex hull approach," European Journal of Operational Research, Elsevier, vol. 210(3), pages 606-617, May.
    5. Meredith, Jack R. & Steward, Michelle D. & Lewis, Bruce R., 2011. "Knowledge dissemination in operations management: Published perceptions versus academic reality," Omega, Elsevier, vol. 39(4), pages 435-446, August.
    6. Alireza Faraz & M. Moghadam, 2007. "Fuzzy Control Chart A Better Alternative for Shewhart Average Chart," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(3), pages 375-385, June.
    7. Misiunas, Nicholas & Oztekin, Asil & Chen, Yao & Chandra, Kavitha, 2016. "DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status," Omega, Elsevier, vol. 58(C), pages 46-54.
    8. Adile Yesim Yayla & Asil Oztekin & Alev Taskin Gumus & Angappa Gunasekaran, 2015. "A hybrid data analytic methodology for 3PL transportation provider evaluation using fuzzy multi-criteria decision making," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6097-6113, October.
    9. Chang, Y-H & Yeh, C-H & Cheng, J-H, 1998. "Decision Support for Bus Operations under Uncertainty: a Fuzzy Expert System Approach," Omega, Elsevier, vol. 26(3), pages 367-380, June.
    10. Demirbag, Mehmet & Tatoglu, Ekrem & Glaister, Keith W. & Zaim, Selim, 2010. "Measuring strategic decision making efficiency in different country contexts: A comparison of British and Turkish firms," Omega, Elsevier, vol. 38(1-2), pages 95-104, February.
    11. Bekiros, Stelios D., 2010. "Fuzzy adaptive decision-making for boundedly rational traders in speculative stock markets," European Journal of Operational Research, Elsevier, vol. 202(1), pages 285-293, April.
    12. Dembczynski, Krzysztof & Greco, Salvatore & Slowinski, Roman, 2009. "Rough set approach to multiple criteria classification with imprecise evaluations and assignments," European Journal of Operational Research, Elsevier, vol. 198(2), pages 626-636, October.
    13. Kao, Chiang & Chyu, Chin-Lu, 2003. "Least-squares estimates in fuzzy regression analysis," European Journal of Operational Research, Elsevier, vol. 148(2), pages 426-435, July.
    14. Yuan, Yufei & Feldhamer, Stuart & Gafni, Amiram & Fyfe, Fran & Ludwin, David, 2002. "The development and evaluation of a fuzzy logic expert system for renal transplantation assignment: Is this a useful tool?," European Journal of Operational Research, Elsevier, vol. 142(1), pages 152-173, October.
    15. Sirbiladze, Gia & Khutsishvili, Irina & Ghvaberidze, Bezhan, 2014. "Multistage decision-making fuzzy methodology for optimal investments based on experts’ evaluations," European Journal of Operational Research, Elsevier, vol. 232(1), pages 169-177.
    16. Kong, Guilan & Xu, Dong-Ling & Body, Richard & Yang, Jian-Bo & Mackway-Jones, Kevin & Carley, Simon, 2012. "A belief rule-based decision support system for clinical risk assessment of cardiac chest pain," European Journal of Operational Research, Elsevier, vol. 219(3), pages 564-573.
    17. Beynon, Malcolm J. & Peel, Michael J. & Tang, Yu-Cheng, 2004. "The application of fuzzy decision tree analysis in an exposition of the antecedents of audit fees," Omega, Elsevier, vol. 32(3), pages 231-244, June.
    18. Stewart, Theodor J. & French, Simon & Rios, Jesus, 2013. "Integrating multicriteria decision analysis and scenario planning—Review and extension," Omega, Elsevier, vol. 41(4), pages 679-688.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Derhami, Shahab & Smith, Alice E., 2017. "An integer programming approach for fuzzy rule-based classification systems," European Journal of Operational Research, Elsevier, vol. 256(3), pages 924-934.
    2. Radu-Adrian MARINCEAN, 2023. "Recommender System’S Economic Impact On Ebusiness. A Theoretical Review," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 32(1), pages 728-741, July.
    3. Amir Elalouf, 2022. "Israeli Medical Experts’ Knowledge, Attitudes, and Preferences in Allocating Donor Organs for Transplantation," IJERPH, MDPI, vol. 19(11), pages 1-17, June.
    4. Jifan Zhang & Salih Tutun & Samira Fazel Anvaryazdi & Mohammadhossein Amini & Durai Sundaramoorthi & Hema Sundaramoorthi, 2024. "Management of resource sharing in emergency response using data-driven analytics," Annals of Operations Research, Springer, vol. 339(1), pages 663-692, August.
    5. Oztekin, Asil & Al-Ebbini, Lina & Sevkli, Zulal & Delen, Dursun, 2018. "A decision analytic approach to predicting quality of life for lung transplant recipients: A hybrid genetic algorithms-based methodology," European Journal of Operational Research, Elsevier, vol. 266(2), pages 639-651.
    6. Kargar, Bahareh & Pishvaee, Mir Saman & Jahani, Hamed & Sheu, Jiuh-Biing, 2020. "Organ transportation and allocation problem under medical uncertainty: A real case study of liver transplantation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Derhami, Shahab & Smith, Alice E., 2017. "An integer programming approach for fuzzy rule-based classification systems," European Journal of Operational Research, Elsevier, vol. 256(3), pages 924-934.
    2. Xu, Yan & Yeh, Chung-Hsing, 2012. "An integrated approach to evaluation and planning of best practices," Omega, Elsevier, vol. 40(1), pages 65-78, January.
    3. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    4. Hai-Long Zhu & Shan-Shan Liu & Yuan-Yuan Qu & Xiao-Xia Han & Wei He & You Cao, 2022. "A new risk assessment method based on belief rule base and fault tree analysis," Journal of Risk and Reliability, , vol. 236(3), pages 420-438, June.
    5. Francisco Javier Santos Arteaga & Debora Di Caprio & David Cucchiari & Josep M Campistol & Federico Oppenheimer & Fritz Diekmann & Ignacio Revuelta, 2021. "Modeling patients as decision making units: evaluating the efficiency of kidney transplantation through data envelopment analysis," Health Care Management Science, Springer, vol. 24(1), pages 55-71, March.
    6. Sevastjanov, P. & Figat, P., 2007. "Aggregation of aggregating modes in MCDM: Synthesis of Type 2 and Level 2 fuzzy sets," Omega, Elsevier, vol. 35(5), pages 505-523, October.
    7. Tao, Liangyan & Liu, Sifeng & Xie, Naiming & Javed, Saad Ahmed, 2021. "Optimal position of supply chain delivery window with risk-averse suppliers: A CVaR optimization approach," International Journal of Production Economics, Elsevier, vol. 232(C).
    8. Demirbag, Mehmet & McGuinness, Martina & Akin, Ahmet & Bayyurt, Nizamettin & Basti, Eyup, 2016. "The professional service firm (PSF) in a globalised economy: A study of the efficiency of securities firms in an emerging market," International Business Review, Elsevier, vol. 25(5), pages 1089-1102.
    9. Roldán López de Hierro, Antonio Francisco & Martínez-Moreno, Juan & Aguilar Peña, Concepción & Roldán López de Hierro, Concepción, 2016. "A fuzzy regression approach using Bernstein polynomials for the spreads: Computational aspects and applications to economic models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 128(C), pages 13-25.
    10. Böyükaslan, Adem & Ecer, Fatih, 2021. "Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework," Technology in Society, Elsevier, vol. 67(C).
    11. Gia Sirbiladze & Otar Badagadze, 2017. "Intuitionistic Fuzzy Probabilistic Aggregation Operators Based on the Choquet Integral: Application in Multicriteria Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 245-279, January.
    12. Yan Xu & Chung-Hsing Yeh, 2017. "Sustainability-based selection decisions for e-waste recycling operations," Annals of Operations Research, Springer, vol. 248(1), pages 531-552, January.
    13. Nunes, L.J.R. & Matias, J.C.O. & Catalão, J.P.S., 2015. "Analysis of the use of biomass as an energy alternative for the Portuguese textile dyeing industry," Energy, Elsevier, vol. 84(C), pages 503-508.
    14. Yuan Chen & Zhijie Zhou & Lihao Yang & Guanyu Hu & Xiaoxia Han & Shuaiwen Tang, 2022. "A novel structural safety assessment method of large liquid tank based on the belief rule base and finite element method," Journal of Risk and Reliability, , vol. 236(3), pages 458-476, June.
    15. Ramli, Azizul Azhar & Watada, Junzo & Pedrycz, Witold, 2011. "Real-time fuzzy regression analysis: A convex hull approach," European Journal of Operational Research, Elsevier, vol. 210(3), pages 606-617, May.
    16. Arbrie Jashari & Victor Tiberius & Marina Dabić, 2022. "Tracing the progress of scenario research in business and management," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
    17. Wei, Yi-Ming & Mi, Zhi-Fu & Huang, Zhimin, 2015. "Climate policy modeling: An online SCI-E and SSCI based literature review," Omega, Elsevier, vol. 57(PA), pages 70-84.
    18. Gia Sirbiladze & Irina Khutsishvili & Otar Badagadze & Mikheil Kapanadze, 2016. "More Precise Decision-Making Methodology in the Temporalized Body of Evidence. Application in the Information Technology Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1469-1502, November.
    19. Durbach, Ian N., 2014. "Outranking under uncertainty using scenarios," European Journal of Operational Research, Elsevier, vol. 232(1), pages 98-108.
    20. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:248:y:2016:i:3:p:1051-1065. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.