Open Access

ARTICLE

Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study

Mohamed Abdel-Basset¹, Rehab Mohamed¹, Mohamed Elhoseny², Mohamed Abouhawash^2,3, Yunyoung Nam^4,*, Nabil M. AbdelAziz¹
1 Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
2 Department of Computational Mathematics, Science, and Engineering (CMSE), Michigan State University, East Lansing, MI, 48824, USA
3 Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt
4 Department of Computer Science and Engineering, Soonchunhyang University, Asan, 31538, Korea
* Corresponding Author: Yunyoung Nam. Email:
(This article belongs to this Special Issue: Blockchain Driven Secure Cyber-Physical Systems)

Computers, Materials & Continua 2021, 67(3), 2729-2746. https://doi.org/10.32604/cmc.2021.015316

Received 07 November 2020; Accepted 10 December 2020; Issue published 01 March 2021

Abstract

Evaluation of commercial banks (CBs) performance has been a significant issue in the financial world and deemed as a multi-criteria decision making (MCDM) model. Numerous research assesses CB performance according to different metrics and standers. As a result of uncertainty in decision-making problems and large economic variations in Egypt, this research proposes a plithogenic based model to evaluate Egyptian commercial banks’ performance based on a set of criteria. The proposed model evaluates the top ten Egyptian commercial banks based on three main metrics including financial, customer satisfaction, and qualitative evaluation, and 19 sub-criteria. The proportional importance of the selected criteria is evaluated by the Analytic Hierarchy Process (AHP). Furthermore, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Vlse Kriterijumska Optimizacija Kompro-misno Resenje (VIKOR), and COmplex PRoportional ASsessment (COPRAS) are adopted to rank the top ten Egyptian banks based on their performance, comparatively. The main role of this research is to apply the proposed integrated MCDM framework under the plithogenic environment to measure the performance of the CBs under uncertainty. All results show that CIB has the best performance while Faisal Islamic Bank and Bank Audi have the least performance among the top 10 CBs in Egypt.

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Keywords

Commercial banks; uncertainty; MCDM; AHP; TOPSIS; VIKOR; COPRAS; hybrid systems

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