-1e416013186c20a17cb-51f9 20230407084326242 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2023 12 1 Department of General Educational Development, Daffodil International University, Bangladesh Khadijatul Kobra https://orcid.org/0009-0001-5497-1369 Md. Atiqur Rahman https://orcid.org/0000-0003-3450-6416 Department of Computer Science and Engineering, Daffodil International University, Bangladesh Syeda Maria Rahman https://orcid.org/0009-0001-5307-2919 Department of Software Engineering, Daffodil International University, Birulia, Bangladesh. Nafees Imran https://orcid.org/0009-0006-3191-3445 Department of Information Technology and Management,Daffodil International University, Birulia, Bangladesh Md Faisal Kabir https://orcid.org/0009-0005-2658-9380 South Bangla Agriculture, Commerce Bank, Bangladesh. Creditors, investors, policymakers, and other stakeholders are all significantly impacted by banks’ performance ratings since these ratings affect how well banks are able to compete in the banking industry, which is crucial for the growth of this industry. The criteria used to evaluate a bank’s success in the banking industry are nebulous and vague. Consequently, it is no longer possible to precisely determine the state of a bank using the analytical method. Furthermore, there is no standard framework that can evaluate private commercial banks using the CAMELS criterion and eliminates ambiguity that we can witness in Bangladesh. The literature shows that two multi-criteria decision-making procedures, FAHP and TOPSIS, are employed in many countries to rank banks according to the CAMELS criteria. However, in Bangladeshi private commercial banks, we have never used such models using the CAMELS criteria. In order to assess the performance of Bangladeshi private commercial banks, this study aims to propose a Fuzzy Multi-Criteria Decision Model (FCDM) that can handle uncertain and ambiguous data. The CAMELS (Capital Adequacy, Asset Quality, Management Efficiency, Earnings, Liquidity, and Sensitivity to Market Risk) criteria are used to analyze and rank the ten commercial banks in Bangladesh. The suggested model incorporates the Fuzzy Analytic Hierarchy Process (FAHP) and Technique of Order Performance by Similarity to Ideal Solution (TOPSIS) methodologies. The weights are input into the TOPSIS algorithm to rank the Banks after determining the weight vector of the CAMELS criteria based on the opinions of experts using FAHP. The outcome displays the ten Bangladeshi commercial banks’ final rankings. 05 30 2023 19 26 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true No, We did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. K.K; conceived, designed, and implemented the experiments and analyzed the data. K.K., M.A.R., N.I; wrote the paper, K.K, M.A.R., S.M.R., N.I., and M.F.K.; reviewed, supervised and funding acquisition. All the authors contributed in this paper. All authors have read and agreed to the published version of the manuscript. 10.35940/ijrte.D7322.0512123 https://www.ijrte.org/portfolio-item/D73221111422/