Abstract
In this study an important real-world multi-criteria problem in banking sector is focused. The aim of this problem is to rank some branches of a bank in Iran subject to some economic criteria under interval type uncertainty. The problem is complex because of its multi-criteria nature and also its interval type data. A new solution procedure is proposed for this problem. In the proposed procedure first the criteria are weighted as interval values according to an effective method which combines experts’ opinions and the Shannon’s entropy approach. Then, as a novelty, the classical EDAS multi-criteria solution approach is newly modified for interval type data in order to overcome the shortcomings of the interval EDAS approaches of the literature. Finally, using the data obtained from the case study, an extensive computational study is performed by the proposed solution procedure. The sensitivity of the proposed approach also is analyzed by changing its parameters and a comparative study was done by some other approaches.




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No, R.K.G., Niroomand, S., Didehkhani, H. et al. Modified interval EDAS approach for the multi-criteria ranking problem in banking sector of Iran. J Ambient Intell Human Comput 12, 8129–8148 (2021). https://doi.org/10.1007/s12652-020-02550-6
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DOI: https://doi.org/10.1007/s12652-020-02550-6