Vol.67, No.3, 2021, pp.2729-2746, doi:10.32604/cmc.2021.015316
Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study
  • Mohamed Abdel-Basset1, Rehab Mohamed1, Mohamed Elhoseny2, Mohamed Abouhawash2,3, Yunyoung Nam4,*, 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)
Received 07 November 2020; Accepted 10 December 2020; Issue published 01 March 2021
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.
Commercial banks; uncertainty; MCDM; AHP; TOPSIS; VIKOR; COPRAS; hybrid systems
Cite This Article
M. Abdel-Basset, R. Mohamed, M. Elhoseny, M. Abouhawash, Y. Nam et al., "Efficient mcdm model for evaluating the performance of commercial banks: a case study," Computers, Materials & Continua, vol. 67, no.3, pp. 2729–2746, 2021.
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