Combining Fuzzy MCDM with BSC Approach in Performance Evaluation of Iranian Private Banking Sector | Zendy

Meysam Shaverdi | Zendy; Mahsa Akbari | Zendy; Saeed Fallah Tafti | Zendy

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Combining Fuzzy MCDM with BSC Approach in Performance Evaluation of Iranian Private Banking Sector

Author(s) -

Meysam Shaverdi,

Mahsa Akbari,

Saeed Fallah Tafti

Publication year - 2011

Publication title -

advances in fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 19

eISSN - 1687-711X

pISSN - 1687-7101

DOI - 10.1155/2011/148712

Subject(s) - multiple criteria decision analysis , balanced scorecard , electre , topsis , vagueness , fuzzy logic , analytic hierarchy process , computer science , index (typography) , ambiguity , operations research , process management , mathematics , business , artificial intelligence , world wide web , programming language

The objective of this study is to construct an approach based on multiple criteria decision making (MCDM) and balanced scorecard (BSC) for evaluating performance for three nongovernmental Iranian's banks. Following the literature relating to banking performance and BSC concepts, experts and managers select 21 indexes for evaluation. Furthermore, fuzzy analytic hierarchy process (FAHP) calculated the relative weights of each chosen index in order to tolerate vagueness and ambiguity of information, and three MCDM analytical tools (TOPSIS, VIKOR, and ELECTRE) were adopted to rank the banking performance. The results indicate that a customer “” has the most significant BSC perspectives and the customer satisfaction “1” is the most major index in banking sector. This proposed fuzzy MCDM method combined with BSC approach is a comprehensive and up-to-date model that can be a useful and effective assessment tool

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