Hatami-Marbini, Adel
[De MontfortUniversity Leicester]
Agrell, Per Joakim
[UCL]
Fukuyama, Hirofumi
[Fukuoka University]
Gholami, Kobra
[Islamic Azad University Bushehr]
Haji Mirza Hossein Khoshnevis, Pegah
[KU Leuven]
The non-Archimedean epsilon ε is commonly considered as a lower bound for the dual input weights and output weights in multiplier data envelopment analysis (DEA) models. The amount of ε can be effectively used to differentiate between strongly and weakly efficient decision making units (DMUs). The problem of weak dominance particularly occurs when the reference set is fully or partially defined in terms of fuzzy numbers. In this paper, we propose a new four-step fuzzy DEA method to re-shape weakly efficient frontiers along with revisiting the efficiency score of DMUs in terms of perturbing the weakly efficient frontier.
- Agrell Per J., Niknazar Pooria, Structural and behavioral robustness in applied best-practice regulation, 10.1016/j.seps.2013.12.004
- Agrell, P. J., Bogetoft, P., Brock, M., & Tind, J. (2005). Efficiency evaluation with convex pairs. Advanced Modeling and Optimization, 7(2), 211–237.
- Ali, A. I., & Seiford, L. M. (1993). Computational accuracy and infinitesimals in data envelopment analysis. INFOR: Information Systems and Operational Research, 31(4), 290.
- Alirezaee Mohammad Reza, The overall assurance interval for the non-Archimedean Epsilon in DEA models; a partition base algorithm, 10.1016/j.amc.2004.04.111
- Alirezaee Mohammad R., Khalili Masoud, Recognizing the efficiency, weak efficiency and inefficiency of DMUs with an epsilon independent linear program, 10.1016/j.amc.2006.05.176
- Allen R., Thanassoulis E., Improving envelopment in data envelopment analysis, 10.1016/s0377-2217(03)00175-9
- Amin Gholam R., Toloo Mehdi, A polynomial-time algorithm for finding ε in DEA models, 10.1016/s0305-0548(03)00072-8
- Bammer, G., & Smithson, M. (Eds.). (2008). Uncertainty and risk: Multidisciplinary perspectives. London, UK: Earthscan Risk in Society Series. Earthscan.
- Bessent A., Bessent W., Elam J., Clark T., Efficiency Frontier Determination by Constrained Facet Analysis, 10.1287/opre.36.5.785
- Chambers Robert G., Chung Yangho, Färe Rolf, Benefit and Distance Functions, 10.1006/jeth.1996.0096
- Chambers R. G., Chung Y., Färe R., Profit, Directional Distance Functions, and Nerlovian Efficiency, 10.1023/a:1022637501082
- Charnes A., Cooper W.W., The non-archimedean CCR ratio for efficiency analysis: A rejoinder to Boyd and Färe, 10.1016/0377-2217(84)90102-4
- Charnes A, Cooper W.W, Golany B, Seiford L, Stutz J, Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions, 10.1016/0304-4076(85)90133-2
- Charnes A., Cooper W.W., Rhodes E., Measuring the efficiency of decision making units, 10.1016/0377-2217(78)90138-8
- Charnes A., Cooper W.W., Rhodes E., Measuring the efficiency of decision-making units, 10.1016/0377-2217(79)90229-7
- Charnes A., Cooper W. W., Thrall R. M., A structure for classifying and characterizing efficiency and inefficiency in Data Envelopment Analysis, 10.1007/bf00159732
- Chen Yao, Morita Hiroshi, Zhu Joe, An Approach for Determining DEA Efficiency Bounds, Multi-Objective Programming and Goal Programming (2003) ISBN:9783540006534 p.105-110, 10.1007/978-3-540-36510-5_12
- Cooper, W. W., Seiford, L. M., & Tone, K. (2002). Data envelopment analysis a comprehensive text with models, applications, references and DEA solved software. Berlin: Springer.
- Despotis Dimitris K., Smirlis Yiannis G., Data envelopment analysis with imprecise data, 10.1016/s0377-2217(01)00200-4
- Emrouznejad Ali, Rostamy-Malkhalifeh Mohsen, Hatami-Marbini Adel, Tavana Madjid, General and multiplicative non-parametric corporate performance models with interval ratio data, 10.1016/j.apm.2011.12.040
- Emrouznejad Ali, Rostamy-Malkhalifeh Mohsen, Hatami-Marbini Adel, Tavana Madjid, Aghayi Nazila, An overall profit Malmquist productivity index with fuzzy and interval data, 10.1016/j.mcm.2011.07.003
- Emrouznejad Ali, Tavana Madjid, Hatami-Marbini Adel, The State of the Art in Fuzzy Data Envelopment Analysis, Performance Measurement with Fuzzy Data Envelopment Analysis (2014) ISBN:9783642413711 p.1-45, 10.1007/978-3-642-41372-8_1
- Green Rodney H., Doyle John R., Cook Wade D., Efficiency bounds in Data Envelopment Analysis, 10.1016/0377-2217(95)00043-7
- Guo Peijun, Tanaka Hideo, Fuzzy DEA: a perceptual evaluation method, 10.1016/s0165-0114(99)00106-2
- Hatami-Marbini, A., & Saati, S. (2009). Stability of RTS of efficient DMUs in DEA with fuzzy under fuzzy data. Applied Mathematical Sciences, 3, 2157–2166.
- Hatami-Marbini Adel, Emrouznejad Ali, Tavana Madjid, A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making, 10.1016/j.ejor.2011.02.001
- Hatami-Marbini Adel, Tavana Madjid, Saati Saber, Agrell Per J., Positive and normative use of fuzzy DEA-BCC models: A critical view on NATO enlargement, 10.1111/j.1475-3995.2012.00871.x
- Hougaard Jens Leth, Fuzzy scores of technical efficiency, 10.1016/s0377-2217(98)00165-9
- Ignatius Joshua, Ghasemi M.-R., Zhang Feng, Emrouznejad Ali, Hatami-Marbini Adel, Carbon efficiency evaluation: An analytical framework using fuzzy DEA, 10.1016/j.ejor.2016.02.014
- Jahanshahloo G.R., Khodabakhshi M., Determining assurance interval for non-Archimedean element in the improving outputs model in DEA, 10.1016/s0096-3003(03)00357-6
- Kao Chiang, Interval efficiency measures in data envelopment analysis with imprecise data, 10.1016/j.ejor.2005.03.009
- Kao C, Liu S-Tai, Data envelopment analysis with missing data: an application to University libraries in Taiwan, 10.1057/palgrave.jors.2600056
- Khanjani Shiraz Rashed, Fukuyama Hirofumi, Tavana Madjid, Di Caprio Debora, An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets, 10.1016/j.asoc.2016.04.043
- Khoshfetrat Sahar, Daneshvar Sahand, Improving weak efficiency frontiers in the fuzzy data envelopment analysis models, 10.1016/j.apm.2010.06.008
- Klir George J., Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like?, 10.1016/0165-0114(87)90087-x
- Klir George J., Smith Richard M., 10.1023/a:1016784627561
- Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: Theory and applications. New Jersey: Prentice Hall.
- Kruse Rudolf, Meyer Klaus Dieter, Statistics with Vague Data, ISBN:9789401082495, 10.1007/978-94-009-3943-1
- Land Kenneth C., Lovell C. A. Knox, Thore Sten, Chance-constrained data envelopment analysis, 10.1002/mde.4090140607
- LaPlante A.E., Paradi J.C., Evaluation of bank branch growth potential using data envelopment analysis, 10.1016/j.omega.2014.10.009
- Lertworasirikul Saowanee, Fang Shu-Cherng, A. Joines Jeffrey, L.W. Nuttle Henry, Fuzzy data envelopment analysis (DEA): a possibility approach, 10.1016/s0165-0114(02)00484-0
- Mehrabian Saeid, Jahanshahloo Gholam R., Alirezaee Mohammad R., Amin Gholam R., An Assurance Interval for the Non-Archimedean Epsilon in DEA Models, 10.1287/opre.48.2.344.12381
- Olesen O. B., Petersen N. C., Chance Constrained Efficiency Evaluation, 10.1287/mnsc.41.3.442
- Podinovski Victor V., Kuosmanen Timo, Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions, 10.1016/j.ejor.2010.12.003
- Qin Rui, Liu Yankui, Liu Zhiqiang, Wang Guoli, Modeling Fuzzy DEA with Type-2 Fuzzy Variable Coefficients, Advances in Neural Networks – ISNN 2009 (2009) ISBN:9783642015090 p.25-34, 10.1007/978-3-642-01510-6_4
- Seaver Bill, Triantis Konstantinos, Hoopes Barbara J., Efficiency Performance and Dominance in Influential Subsets: An Evaluation using Fuzzy Clustering and Pair-wise Dominance, 10.1023/b:prod.0000016873.63406.90
- Sengupta Jati K., A fuzzy systems approach in data envelopment analysis, 10.1016/0898-1221(92)90203-t
- Shokouhi Amir H., Hatami-Marbini Adel, Tavana Madjid, Saati Saber, A robust optimization approach for imprecise data envelopment analysis, 10.1016/j.cie.2010.05.011
- Shokouhi Amir H., Shahriari Hamid, Agrell Per J., Hatami-Marbini Adel, Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data, 10.1007/s00291-013-0336-5
- Simar Léopold, Wilson Paul W., A general methodology for bootstrapping in non-parametric frontier models, 10.1080/02664760050081951
- Thanassoulis E., Allen R., Simulating Weights Restrictions in Data Envelopment Analysis by Means of Unobserved DMUs, 10.1287/mnsc.44.4.586
- Triantis Konstantinos P., Engineering Applications of Data Envelopment Analysis, International Series in Operations Research & Management Science (2011) ISBN:9781441961501 p.363-402, 10.1007/978-1-4419-6151-8_14
- Triantis Konstantinos, Eeckaut Philippe Vanden, 10.1023/a:1007870908622
- Triantis Konstantinos, Girod Olivier, 10.1023/a:1018350516517
- Triantis Konstantinos, Sarangi Sudipta, Kuchta Dorota, Fuzzy pair-wise dominance and fuzzy indices: An evaluation of productive performance, 10.1016/s0377-2217(02)00141-8
- Viertl, R. (1996). Statistical methods for non-precise data. Boca Raton: CRC Press.
- Wang Ying-Ming, Luo Ying, Liang Liang, Fuzzy data envelopment analysis based upon fuzzy arithmetic with an application to performance assessment of manufacturing enterprises, 10.1016/j.eswa.2008.06.102
- Wang Ying-Ming, Greatbanks Richard, Yang Jian-Bo, Interval efficiency assessment using data envelopment analysis, 10.1016/j.fss.2004.12.011
- Zadeh, L. A. (1979). A theory of approximate reasoning. Machine Intelligence, 9, 149–194.
- Zadeh L.A., Fuzzy sets, 10.1016/s0019-9958(65)90241-x
- Zimmermann H.-J., Fuzzy Sets, Decision Making, and Expert Systems, ISBN:9789401079570, 10.1007/978-94-009-3249-4
- Zimmermann H.-J., Fuzzy Set Theory—and Its Applications, ISBN:9789401587044, 10.1007/978-94-015-8702-0
Bibliographic reference |
Hatami-Marbini, Adel ; Agrell, Per Joakim ; Fukuyama, Hirofumi ; Gholami, Kobra ; Haji Mirza Hossein Khoshnevis, Pegah. The role of multiplier bounds in fuzzy data envelopment analysis. In: Annals of Operations Research, Vol. 250, p. 249-276 (2017) |
Permanent URL |
http://hdl.handle.net/2078.1/186603 |