a8ef2f30-390c-4abd-a1c9-b192bb19b32a beie director@blueeyesintelligence.org 10.35940/ijrte.E5240.019521 Babić Z, Belak V. and Tomić-Plazibat N. 1999. Ranking of croatian banks according to business efficiency", Proceedings of the 5th International Symposium on Operational Research, Preddvor, Slovenia.10.1109/FUZZ-IEEE.2013.6622328Chatterjee K, Kar S. 2013. A hybrid MCDM approach for selection of financial institution in supply chain risk management. 2013 IEEE International Conference in Fuzzy Systems (FUZZ-IEEE) pp. 1-7.10.13033/isahp.y2001.016Hunjak T. 2001. AHP based model for bank performance evaluation and rating; ISAHP 2001, Berne, Switzerland, August 2-4, 2001Kumar S, Gulati R. 2008. An Examination of Technical, Pure Technical, and Scale Efficiencies in Indian Public Sector Banks using Data Envelopment Analysis, Eurasian Journal of Business and Economics. 1 (2), 33-69.10.1016/S0165-0114(02)00383-4Mikhailov L. 2003. Deriving priorities from fuzzy pairwise comparison judgments; Fuzzy Sets and Systems. 134(3), 365-385.10.1016/0378-4266(95)00017-8Miller S, Noulas A. 1996. The Technical Efficiency of Large Banks Production", Journal of Banking & Finance. 20 (3): 495-50910.1016/S0377-2217(03)00020-1Opricovic S, Tzeng G. 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 156(2), 445-455,Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting. New York: McGraw Hill International Book Co.10.1016/j.procs.2014.05.352Shaverdia M, Heshmatib M, Ramezanic I. 2014. Application of Fuzzy AHP Approach for Financial Performance Evaluation of Iranian Petrochemical Sector. Procedia Computer Science 31; 995 - 1004. Information Technology and Quantitative Management (ITQM 2014)Varma J, Raghunathan V, Korwar A, Bhatt M. 1992. Narasimham Committee Report - Some Further Ramifications and Suggestions Working Paper No. 1009 February 1992, IIM, Ahmedabad.10.1016/j.eswa.2011.07.024Yalcin N, Bayrakdaroglu A, Kahraman C. 2012. Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries. Expert Systems with Applications, 39(1), 350-364.Expert Systems with ApplicationsYu3843550201110.1016/j.eswa.2010.08.143Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSISYu X, Guo S, Huang X (2011). Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSIS. Expert Systems with Applications, 38(4), 3550-3557.Zeleny M. 1982. Multiple criteria decision making. New York: McGraw Hill; 1982.