Relationship between efficiency in the traditional data envelopment analysis and possibility sets

Adler, 2002, Review of ranking methods in the data envelopment analysis context, European Journal of Operational Research, 140, 249, 10.1016/S0377-2217(02)00068-1 Banker, 1984, Some methods for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30, 1078, 10.1287/mnsc.30.9.1078 Banker, 1986, Efficiency analysis for exogenously fixed inputs and outputs, Operations Research, 34, 513, 10.1287/opre.34.4.513 Charnes, 1978, Measuring the efficiency of decision making units, European Journal of Operational Research, 2, 429, 10.1016/0377-2217(78)90138-8 Cook, 2009, Data envelopment analysis (DEA) – Thirty years on, European Journal of Operational Research, 192, 1, 10.1016/j.ejor.2008.01.032 Cordero-Ferrera, 2010, Enhancing the inclusion of nondiscretionary inputs in DEA, Journal of the Operational Research Society, 61, 574, 10.1057/jors.2008.189 Emrouznejad, 2010, COOPER-framework: A unified process for non-parametric projects, European Journal of Operational Research, 207, 1573, 10.1016/j.ejor.2010.07.025 Emrouznejad, 2012, An alternative formulation for the fuzzy assignment problem, Journal of the Operational Research Society, 63, 59, 10.1057/jors.2011.14 Golany, 1993, Some extensions of techniques to handle non-discretionary factors in data envelopment analysis, Journal of Productivity Analysis, 4, 419, 10.1007/BF01073549 Guo, 2001, Fuzzy DEA: A perceptual evaluation method, Fuzzy Sets and Systems, 119, 149, 10.1016/S0165-0114(99)00106-2 Hatami-Marbini, 2012, A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making, European Journal of the Operational Research, 214, 457, 10.1016/j.ejor.2011.02.001 Kahraman, C., Tolga, E. (1998). Data envelopment analysis using fuzzy concept. In Proceedings of The International. Symposium on Multiple-Valued Logic (pp. 338–342). Fukuoka, Japan, IEEE Comp Soc, Los Alamitos, CA, USA. Kao, 2000, Fuzzy efficiency measures in data envelopment analysis, Fuzzy Sets and Systems, 113, 427, 10.1016/S0165-0114(98)00137-7 Lertworasirikul, S. (2001). Fuzzy data envelopment analysis for supply chain modelling and analysis. Dissertation Proposal in Industrial Engineering, North Carolina State University. Lertworasirikul, 2003, Fuzzy BCC model for data envelopment analysis, Fuzzy Optimization and Decision Making, 2, 337, 10.1023/B:FODM.0000003953.39947.b4 Lertworasirikul, 2003, Fuzzy data envelopment analysis (DEA): A possibility approach, Fuzzy Sets and Systems, 139, 379, 10.1016/S0165-0114(02)00484-0 Muñiz, 2002, Separating managerial inefficiency and external conditions in data envelopment analysis, European Journal of Operational Research, 143, 625, 10.1016/S0377-2217(01)00344-7 Muñiz, 2006, Evaluating alternative DEA models used to control for nondiscretionary inputs, Computers & Operations Research, 33, 1173, 10.1016/j.cor.2004.09.007 Ruggiero, 1996, On the measurement of technical efficiency in the public sector, European Journal of Operational Research, 90, 553, 10.1016/0377-2217(94)00346-7 Ruggiero, 1998, Non-discretionary inputs in data envelopment analysis, European Journal of Operational Research, 111, 461, 10.1016/S0377-2217(97)00306-8 Sengupta, 1992, Measuring efficiency by a fuzzy statistical approach, Fuzzy Sets and Systems, 46, 73, 10.1016/0165-0114(92)90268-9 Zadeh, 1999, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3, 10.1016/0165-0114(78)90029-5 Zerafat Angiz, 2010, Aggregating preference ranking with fuzzy data envelopment analysis, Knowledge-Based Systems, 23, 512, 10.1016/j.knosys.2010.03.008 Zerafat Angiz, 2010, Ranking efficient decision-making units in data envelopment analysis using fuzzy concept, Computers & Industrial Engineering, 59, 712, 10.1016/j.cie.2010.07.025 Zimmermann, 1996