A Combined Fuzzy Multi-Criteria Decision Making Framework for Evaluation of Islamic Banks: A Case of MENA Region
محورهای موضوعی : Fuzzy Optimization and Modeling JournalAli Jamali 1 , Alireza Faghih 2 , Mohammad Reza Fathi 3 , Fatemeh Rostami 4
1 - Department of Management, University of Tehran, Tehran, Iran
2 - Department of Management, University of Tehran, Tehran, Iran
3 - Associate Professor, College of Farabi, University of Tehran, Iran
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.
