How to cite this paper
Tlig, H & Hamed, A. (2018). An approach based on relations between fuzzy numbers to assess the performance of Tunisian banks.Accounting, 4(1), 1-10.
Refrences
Banker, R.D., Charnes, A. and Cooper, W.W. (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science,30, 1078-1092.
BO, H., Ching, and Ching, R.C. (2011) Using fuzzy super efficiency slack-based measure data envelopment analysis to evaluate Taiwan’s commercial bank efficiency, Expert Systems with Applications, 38 , 9147–9156.
Charnes, A., Cooper, W.W and Rhodes, E. (1978) Measuring the efficiency of decision making units, European Journal of Operations Research , 4, 29-44.
Chen, Y.C., Chiu, Y.H., Huang, C.W. and Tu, C.H. (2013) The analysis of bank business performance and market risk-Applying Fuzzy DEA, Economic Modeling, 32, 225-232.
Guo, P. And Tanaka, H. (2001) Fuzzy DEA: a perceptual evaluation method, Fuzzy Sets and Systems, 119, 149–160.
Guo, P., Tanaka, H. and Inuiguchi, M. (2000) Self-organizing fuzzy aggregation models to rank the objects with multiple attributes, IEEE Transactions on Systems, Man and Cybernetics, Part A – Systems and Humans, 30, 573–580.
Kahraman, C. And Tolga, E. (1988) Data envelopment analysis using fuzzy concept, 28th International Symposium on Multiple-Valued Logic, 338–343.
Kao, C. And Liu, S.T. (2000) Fuzzy efficiency measures in data envelopment analysis, Fuzzy Sets and Systems, 113, 427–437.
Kao, C., and Liu, S.T. (2004) Predicting bank performance with financial forecasts: A case of Taiwan commercial banks, Journal of Banking & Finance, 28, 2353–2368.
Lertworasirikul, S. (2002) Fuzzy Data Envelopment Analysis (DEA), Ph.D. Dissertation, Department of Industrial Engineering, North Carolina State University.
Lertworasirikul, S., Fang, S.C., Joines, J.A. and H. L.W. Nuttle, H.L.W. (2003) Fuzzy data envelopment analysis (DEA): a possibility approach, Fuzzy Sets and Systems, 139, 379–394.
Liu, S.T. (2008) A fuzzy DEA/AR approach to the selection of flexible manufacturing system. Computer and Industrial Engineering, 54, 66–76.
Pramodh, C., Ravi, V. and Hushanam, N. (2008) Indian banks' productivity ranking via Data Envelopment Analysis and Fuzzy Multi-Attribute Decision-Making hybrid, International Journal of Information and Decision Science, 1, 44-65.
Puri, J.and Yadav, S.P. (2013) A concept of fuzzy input mix-efficiency in fuzzy DEA and its application in banking sector, Expert Systems with Applications, 40 (5), 1437-1450.
Puri, J.and Yadav, S.P. (2013), A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India, Expert Systems with Applications, 41(14) , 6419-6432.
Saati, S. And Memariani, A. (2005) Reducing weight flexibility in fuzzy DEA, Applied Mathematics and Computation, 161, 611–622.
Saati, S., Memariani, A. And ahanshahloo, G.R. (2002) Efficiency analysis and ranking of DMUs with fuzzy data, Fuzzy Optimization and Decision Making, 1, 255–267.
Sengupta, J.K. (1992) A fuzzy systems approach in data envelopment analysis, Computers and Mathematics with Applications, 24 259–266.
Tlig, H. And Rebai, A. (2009) mathematical approach to solve data envelopment analysis models when data are LR fuzzy numbers, Applied Mathematical Sciences, 3, 2383–2396.
Triantis, K.P., Girod, O. (1998) A mathematical programming approach for measuring technical efficiency in a fuzzy environment, Journal of Productivity Analysis, 10, 85–102.
Wang, C.H., Chuang, C.C. and Tsai, C.C. (2009) A fuzzy DEA–neural approach to measuring design service performance in PCM projects, Automation in Construction, 18, 702–713.
Wang, W.K , Lu, W.M and Liu, P.L. (2014) A fuzzy multi-objective two-stage DEA model for evaluating the performance of US bank holding companies, Expert Systems with Applications, 41(9) , 4290-4297.
Wu, D.D, Yang, Z. and Liang, L. (2006), Efficiency analysis of cross-region bank branches using fuzzy data envelopment analysis, Applied Mathematics and Computation, 181, 271–281.
Yalcin, N.S., Ali, B. and Kahraman, C. (2009) Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS, Expert Systems with Applications 36 , 11699–11709.
Zadeh, L.A. (1978) Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3–28.
BO, H., Ching, and Ching, R.C. (2011) Using fuzzy super efficiency slack-based measure data envelopment analysis to evaluate Taiwan’s commercial bank efficiency, Expert Systems with Applications, 38 , 9147–9156.
Charnes, A., Cooper, W.W and Rhodes, E. (1978) Measuring the efficiency of decision making units, European Journal of Operations Research , 4, 29-44.
Chen, Y.C., Chiu, Y.H., Huang, C.W. and Tu, C.H. (2013) The analysis of bank business performance and market risk-Applying Fuzzy DEA, Economic Modeling, 32, 225-232.
Guo, P. And Tanaka, H. (2001) Fuzzy DEA: a perceptual evaluation method, Fuzzy Sets and Systems, 119, 149–160.
Guo, P., Tanaka, H. and Inuiguchi, M. (2000) Self-organizing fuzzy aggregation models to rank the objects with multiple attributes, IEEE Transactions on Systems, Man and Cybernetics, Part A – Systems and Humans, 30, 573–580.
Kahraman, C. And Tolga, E. (1988) Data envelopment analysis using fuzzy concept, 28th International Symposium on Multiple-Valued Logic, 338–343.
Kao, C. And Liu, S.T. (2000) Fuzzy efficiency measures in data envelopment analysis, Fuzzy Sets and Systems, 113, 427–437.
Kao, C., and Liu, S.T. (2004) Predicting bank performance with financial forecasts: A case of Taiwan commercial banks, Journal of Banking & Finance, 28, 2353–2368.
Lertworasirikul, S. (2002) Fuzzy Data Envelopment Analysis (DEA), Ph.D. Dissertation, Department of Industrial Engineering, North Carolina State University.
Lertworasirikul, S., Fang, S.C., Joines, J.A. and H. L.W. Nuttle, H.L.W. (2003) Fuzzy data envelopment analysis (DEA): a possibility approach, Fuzzy Sets and Systems, 139, 379–394.
Liu, S.T. (2008) A fuzzy DEA/AR approach to the selection of flexible manufacturing system. Computer and Industrial Engineering, 54, 66–76.
Pramodh, C., Ravi, V. and Hushanam, N. (2008) Indian banks' productivity ranking via Data Envelopment Analysis and Fuzzy Multi-Attribute Decision-Making hybrid, International Journal of Information and Decision Science, 1, 44-65.
Puri, J.and Yadav, S.P. (2013) A concept of fuzzy input mix-efficiency in fuzzy DEA and its application in banking sector, Expert Systems with Applications, 40 (5), 1437-1450.
Puri, J.and Yadav, S.P. (2013), A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India, Expert Systems with Applications, 41(14) , 6419-6432.
Saati, S. And Memariani, A. (2005) Reducing weight flexibility in fuzzy DEA, Applied Mathematics and Computation, 161, 611–622.
Saati, S., Memariani, A. And ahanshahloo, G.R. (2002) Efficiency analysis and ranking of DMUs with fuzzy data, Fuzzy Optimization and Decision Making, 1, 255–267.
Sengupta, J.K. (1992) A fuzzy systems approach in data envelopment analysis, Computers and Mathematics with Applications, 24 259–266.
Tlig, H. And Rebai, A. (2009) mathematical approach to solve data envelopment analysis models when data are LR fuzzy numbers, Applied Mathematical Sciences, 3, 2383–2396.
Triantis, K.P., Girod, O. (1998) A mathematical programming approach for measuring technical efficiency in a fuzzy environment, Journal of Productivity Analysis, 10, 85–102.
Wang, C.H., Chuang, C.C. and Tsai, C.C. (2009) A fuzzy DEA–neural approach to measuring design service performance in PCM projects, Automation in Construction, 18, 702–713.
Wang, W.K , Lu, W.M and Liu, P.L. (2014) A fuzzy multi-objective two-stage DEA model for evaluating the performance of US bank holding companies, Expert Systems with Applications, 41(9) , 4290-4297.
Wu, D.D, Yang, Z. and Liang, L. (2006), Efficiency analysis of cross-region bank branches using fuzzy data envelopment analysis, Applied Mathematics and Computation, 181, 271–281.
Yalcin, N.S., Ali, B. and Kahraman, C. (2009) Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS, Expert Systems with Applications 36 , 11699–11709.
Zadeh, L.A. (1978) Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3–28.