[1] Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the royal statistical society series a: statistics in society, 120(3), 253–281.
[2] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429–444.
[3] Lewis, L. F., & Sexton, T. R. (2004). Network DEA: Efficiency analysis of organizations with complex internal structure. Computers and operations research, 31(9), 1365–1410. DOI:10.1016/S0305-0548(03)00095-9
[4] Fukuyama, H., & Weber, W. L. (2010). A slacks-based inefficiency measure for a two-stage system with bad outputs. Omega, 38(5), 398–409. DOI:10.1016/j.omega.2009.10.006
[5] Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-economic planning sciences, 34(1), 35–49.
[6] Sexton, T. R., & Lewis, H. F. (2003). Two-stage DEA: an application to major league baseball. Journal of productivity analysis, 19(2–3), 227–249. DOI:10.1023/A:1022861618317
[7] Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European journal of operational research, 197(1), 243–252.
[8] Kao, C., & Hwang, S. N. (2010). Efficiency measurement for network systems: IT impact on firm performance. Decision support systems, 48(3), 437–446. DOI:10.1016/j.dss.2009.06.002
[9] Avkiran, N. K. (2009). Opening the black box of efficiency analysis: An illustration with UAE banks. Omega, 37(4), 930–941. DOI:10.1016/j.omega.2008.08.001
[10] Zha, Y., & Liang, L. (2010). Two-stage cooperation model with input freely distributed among the stages. European journal of operational research, 205(2), 332–338. DOI:10.1016/j.ejor.2010.01.010
[11] Kao, C., & Liu, S. T. (2014). Multi-period efficiency measurement in data envelopment analysis: The case of Taiwanese commercial banks. Omega (United Kingdom), 47, 90–98. DOI:10.1016/j.omega.2013.09.001
[12] Ebrahimnejad, A., Tavana, M., Lotfi, F. H., Shahverdi, R., & Yousefpour, M. (2014). A three-stage Data Envelopment Analysis model with application to banking industry. Measurement: journal of the international measurement confederation, 49(1), 308–319. DOI:10.1016/j.measurement.2013.11.043
[13] Lin, T. Y., & Chiu, S. H. (2013). Using independent component analysis and network DEA to improve bank performance evaluation. Economic modelling, 32(1), 608–616. DOI:10.1016/j.econmod.2013.03.003
[14] Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European journal of operational research, 130(3), 498–509.
[15] Pastor, J. T., Ruiz, J. L., & Sirvent, I. (1999). Enhanced DEA Russell graph efficiency measure. European journal of operational research, 115(3), 596–607. DOI:10.1016/S0377-2217(98)00098-8
[16] Huang, J., Yang, X., Cheng, G., & Wang, S. (2014). A comprehensive eco-efficiency model and dynamics of regional eco-efficiency in China. Journal of cleaner production, 67, 228–238. DOI:10.1016/j.jclepro.2013.12.003
[17] Huang, J., Chen, J., & Yin, Z. (2014). A network DEA model with super efficiency and undesirable outputs: An application to bank efficiency in China. Mathematical problems in engineering, 2014, 1–14. DOI:10.1155/2014/793192
[18] Olfat, L., Amiri, M., Bamdad Soufi, J., & Pishdar, M. (2016). A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach. Journal of air transport management, 57, 272–290. DOI:10.1016/j.jairtraman.2016.08.007
[19] Wu, J., Zhu, Q., Ji, X., Chu, J., & Liang, L. (2016). Two-stage network processes with shared resources and resources recovered from undesirable outputs. European journal of operational research, 251(1), 182–197. DOI:10.1016/j.ejor.2015.10.049
[20] Tavassoli, M., Faramarzi, G. R., & Farzipoor Saen, R. (2014). Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input. Journal of air transport management, 34, 146–153. DOI:10.1016/j.jairtraman.2013.09.001
[21] Sengupta, J. K. (1992). A fuzzy systems approach in data envelopment analysis. Computers and mathematics with applications, 24(8–9), 259–266. DOI:10.1016/0898-1221(92)90203-T
[22] Kahraman, C., & Tolga, E. (1998). Data envelopment analysis using fuzzy concept [presentation]. Proceedings of the international symposium on multiple-valued logic (pp. 338–342). DOI: 10.1109/ismvl.1998.679511
[23] Kao, C., & Liu, S.-T. (2000). Fuzzy efficiency measures in data envelopment analysis. Fuzzy sets and systems, 113(3), 427–437.
[24] Guo, P., & Tanaka, H. (2001). Fuzzy DEA: A perceptual evaluation method. Fuzzy sets and systems, 119(1), 149–160. DOI:10.1016/S0165-0114(99)00106-2
[25] Lertworasirikul, S., Fang, S.-C., Joines, J. A., & Nuttle, H. L. W. (2003). Fuzzy data envelopment analysis (DEA): a possibility approach. Fuzzy sets and systems, 139(2), 379–394.
[26] Tavana, M., Khalili-Damghani, K., & Sadi-Nezhad, S. (2013). A fuzzy group data envelopment analysis model for high-technology project selection: A case study at NASA. Computers and industrial engineering, 66(1), 10–23. DOI:10.1016/j.cie.2013.06.002
[27] Hsiao, B., Chern, C. C., Chiu, Y. H., & Chiu, C. R. (2011). Using fuzzy super-efficiency slack-based measure data envelopment analysis to evaluate Taiwan’s commercial bank efficiency. Expert systems with applications, 38(8), 9147–9156. DOI:10.1016/j.eswa.2011.01.075
[28] Shermeh, H. E., Najafi, S. E., & Alavidoost, M. H. (2016). A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies. Energy, 112, 686–697. DOI:10.1016/j.energy.2016.06.087
[29] Akther, S., Fukuyama, H., & Weber, W. L. (2013). Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking. Omega (United Kingdom), 41(1), 88–96. DOI:10.1016/j.omega.2011.02.009
[30] Khalili-Damghani, K., & Tavana, M. (2013). A new fuzzy network data envelopment analysis model for measuring the performance of agility in supply chains. International journal of advanced manufacturing technology, 69(1–4), 291–318. DOI:10.1007/s00170-013-5021-y
[31] Färe, R. (1991). Measuring Farrell efficiency for a firm with intermediate inputs. Academia economic papers, 19(2), 329–340.
[32] Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1(1), 3–28. DOI:10.1016/0165-0114(78)90029-5
[33] Zimmermann, H.-J. (1996). Fuzzy control. In Fuzzy set theory—and its applications (pp. 223–264). Springer.
[34] Hougaard, J. L. (1999). Fuzzy scores of technical efficiency. European journal of operational research, 115(3), 529–541. DOI:10.1016/S0377-2217(98)00165-9
[35] Tone, K. (n.d.). Advances in DEA Theory and Applications: With Extensions to Forecasting Models. , John Wiley & Sons Ltd.
[36] Guh, Y. Y. (2001). Data envelopment analysis in fuzzy environment. International journal of information and management sciences, 12(2), 51–65.
[37] Kuo, H.-C. (2001). An interdisciplinary approach for modelling credit evaluation. International journal of management, 18(1), 11-17.
