A Combined Fuzzy Multi-Criteria Decision Making Framework for Evaluation of Islamic Banks: A Case of MENA Region
محورهای موضوعی : Fuzzy Optimization and Modeling Journal
Ali Jamali
1
(Department of Management, University of Tehran, Tehran, Iran)
Alireza Faghih
2
(Department of Management, University of Tehran, Tehran, Iran)
Mohammad Reza Fathi
3
(Associate Professor, College of Farabi, University of Tehran, Iran)
Fatemeh Rostami
4
(Master of Information Technology and Data Science, Department of Computation Science, Iran University of Science and Technology, Tehran, Iran)
کلید واژه: camel, Fuzzy VIKOR, Fuzzy ANP, Fuzzy ARAS, Grey Relation,
چکیده مقاله :
In this paper, we propose an empirical hybrid approach for measuring the performance of Islamic banks in MENA region by combination of four techniques including CAMEL, Grey Relation, fuzzy ANP, and FARAS during two three-year periods (from 2014 to 2019). Our findings that also considered as our contributions are as follows: firstly, this approach excludes indicators that overlap each other from the evaluation process (parsimony). secondly, it prevents the removal of important indicators (generosity). Thirdly, we have compared three most popular MCDM techniques and have shown which ones give us the best ranking results. Finally, we also improve the application of CAMEL model.
