• Sheikh Ahmed Hossain

Performance evaluation of any financial institution is extremely important to look after the health and prospect of the institution. In many research of performance evaluation analysis of banks, several ratio parameters are used mostly in statistical analysis. Designing an effective and comprehensive model for evaluation of financial matters in banking sector is complex due to multiple criteria and parameters which are mostly uncertain and intangible in nature. This paper presents a comprehensive process considering several financial criteria of several alternatives on the basis of several experts (decision makers) opinion and subjective judgment. Intensity of importance is represented in fuzzy scale. We used fuzzy AHP-preference programming (FPP) to obtain priority weights associated with each criteria and compromise ranking method (VIKOR) considering Market Capital, Net Sales, Net Profit, Total Assets, and Other Income in ranking alternatives. A case study involving ten active Indian Public Sector Unit (PSU) banking industries is undertaken to illustrative the feasibility of the proposed approach. A sensitivity analysis of the above method is also done for checking the method reliability.

Fuzzy Analytic Hierarchy Process; Multiple Criteria Decision-Making; Fuzzy Preferences Programming; Banking Stocks; Compromise Ranking Method.

"Fuzzy MCDM Techniques for Evaluation of Financial Institutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.k86-k94, July-2023, Available :http://www.jetir.org/papers/JETIR2307A12.pdf

"Fuzzy MCDM Techniques for Evaluation of Financial Institutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppk86-k94, July-2023, Available at : http://www.jetir.org/papers/JETIR2307A12.pdf