[
Abdel-Basset, M., Mohamed, R., Elhoseny, M., Abouhawash, M., Nam, Y. & AbdelAziz, N. M. (2021). Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study. Computers, Materials & Continua, 67(3), 2729-2746. https://doi.org/10.32604/cmc.2021.015316
]Search in Google Scholar
[
Alireza, S. A. (2023). Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges. Journal of Cleaner Production,423. https://doi.org/10.1016/j.jclepro.2023.138695
]Search in Google Scholar
[
Anginer, D., Bertay, A. C., Cull, R., Demirgüç-Kunt, A., Davide, S. M. (2019). Bank Regulation and Supervision Ten Years after the Global Financial Crisis. World Bank group. https://documents1.worldbank.org/curated/en/685851571160819618/pdf/Bank-Regulation-and-Supervision-Ten-Years-after-the-Global-Financial-Crisis.pdf
]Search in Google Scholar
[
Assaf, M., Hussein, M., Abdelkhalek, S. & Zayed, T. A. (2023). Multi-Criteria Decision-Making Model for Selecting the Best Project Delivery Systems for Offsite Construction Projects. Buildings, 13(571). https://doi.org/10.3390/buildings13020571
]Search in Google Scholar
[
Aydin, F. & Gümüs, B. (2022). Comparative analysis of multi-criteria decision making methods for the assessment of optimal SVC location. Bulletin of the polish academy of sciences technical sciences, 70(2). https://doi.org/10.24425/bpasts.2022.140555
]Search in Google Scholar
[
Badi, I. & Elghoul, E. M. (2023). Using Grey-ARAS Approach to Investigate the Role of Social Media Platforms in Spreading Fake News During COVID-19 Pandemic. Journal of Intelligent Management Decision, 2(2), 66-73. https://doi.org/10.56578/jimd020203
]Search in Google Scholar
[
Barrera, F., Segura, M., & Maroto, C. (2022). Sustainable Technology Supplier Selection in the Banking Sector. Mathematics, 10. https://doi.org/10.3390/math10111919
]Search in Google Scholar
[
Baydaş, M. (2022). The effect of pandemic conditions on financial success rankings of BIST SME industrial companies: a different evaluation with the help of comparison of special capabilities of MOORA, MABAC and FUCA methods. Business & Management Studies: An International Journal, 10(1), 245–260. https://doi.org/10.15295/bmij.v10i1.1997
]Search in Google Scholar
[
Bhatt, T. K., Ahmed, N., Iqbal, M. B. & Ullah, M. (2023). Examining the Determinants of Credit Risk Management and Their Relationship with the Performance of Commercial Banks in Nepal. Journal of Risk and Financial Management, 16. https://doi.org/10.3390/jrfm16040235
]Search in Google Scholar
[
Bošković, S., Švadlenka, l., Jovčić, S., Dobrodolac, M., Simić, V. & Bačanin, N. (2023). An Alternative Ranking Order MethodAccounting for Two-Step Normalization (AROMAN) – A Case Study of the Electric Vehicle Selection Problem. IEEE Access, 11. https://doi.org/10.1109/ACCESS.2023.3265818
]Search in Google Scholar
[
Chính phủ nước Công hòa xã Hội chủ nghĩa Việt Nam. https://baochinhphu.vn/
]Search in Google Scholar
[
Dinh, X. C., Hoang, T. H. & Tran, Long. (2018). Multi-Criteria Decision-Making Model Evaluating the Performance of Vietnamese Commercial Banks. International Journal of Financial Research, 9(1), 132-141. https://doi.org/10.5430/ijfr.v9n1p132
]Search in Google Scholar
[
Do, D. T. (2022). Application of FUCA method for multi-criteria decision making in mechanical machining processes. Operational Research in Engineering Sciences: Theory and Applications, 5(3), 131-152. https://oresta.org/menu-script/index.php/oresta/article/view/331/108
]Search in Google Scholar
[
Do, D. T. (2022). Development of data normalization methods for multi-criteria decision making: applying for MARCOS method. Manufacturing Review, 9(22). https://doi.org/10.1051/mfreview/2022019
]Search in Google Scholar
[
Do, D. T., Duong, V. D., Nguyen, C. B. & Duong, T. T. T. (2024). Using the root assessment method to choose the optimal solution for mushroom cultivation. Yugoslav Journal of Operations Research. https://doi.org/10.2298/YJOR240115007T
]Search in Google Scholar
[
Do, D. T., Tran, V. D., Duong, V. D. & Nguyen, N. T. (2023). Investigation of the appropriate data normalization method for combination with Preference Selection Index method in MCDM. Operational Research in Engineering Sciences: Theory and Applications, 6(1), 44-64. https://oresta.org/menu-script/index.php/oresta/article/view/329
]Search in Google Scholar
[
Do, D. T., Truong, N. X., Hoang, T. D. and Ašonja, A. (2024). Combining DOE and EDAS Methods for Multi-criteria Decision Making. OTO 2023, LNNS 866, 210–227. https://doi.org/10.1007/978-3-031-51494-4_19
]Search in Google Scholar
[
Dung, H. T., Do, D. T., Nguyen, V. T. & Nguyen, N. T. (2021). Multi-objective optimization of the cylindrical grinding process of SCM440 steel using preference selection index method. Journal of Machine Engineering, 21(3), 110-123. https://doi.org/10.36897/jme/141607
]Search in Google Scholar
[
Grierson, D. E. (2008). Pareto multi-criteria decision making. Advanced Engineering Informatics, 22, 371–384. https://doi.org/10.1016/j.aei.2008.03.001
]Search in Google Scholar
[
Hatem, B. & Ikram, K. (2023). A Methodology for Selection Starting Line-Up of Football Players in Qatar World Cup 2022. European Journal of Sport Sciences, 2(2), 46-51. https://www.ej-sport.org/index.php/sport/article/view/56
]Search in Google Scholar
[
Jana, S., Giri, B. C., Sarkar, A., Jana, C., Stević, Z. & Radovanović, M. (2024). Application of Fuzzy AHP in Priority Based Selection of Financial Indices: A Perspective for Investors. ECONOMICS - Innovative and Economics Research Journal, 12(1),1-27. https://doi.org/10.2478/eoik-2024-0007
]Search in Google Scholar
[
Khammassi, C., Boufateh, T., Naoui, K., Alrawad, M. & Lutf, A. (2024). The Role of Stress Tests in Enhancing Bank Transparency: A Comparative Study of Islamic and Conventional Banks. ECONOMICS - Innovative and Economics Research Journal, 12(1), 71-100. https://doi.org/10.2478/eoik-2024-0003
]Search in Google Scholar
[
Khan, A. A. & Wang, L. (2023). Generalized and Group-Generalized Parameter Based Fermatean Fuzzy Aggregation Operators with Application to Decision-Making. International Journal of Knowledge and Innovation Studies, 1(1), 10-29. https://doi.org/10.56578/ijkis010102
]Search in Google Scholar
[
Le, D. H. (2023). Selection of suitable data normalization method to combine with the CRADIS method for making multi-criteria decision. Applied Engineering Letters, 8(1), 24-35. https://doi.org/10.18485/aeletters.2023.8.1.4
]Search in Google Scholar
[
Maniya, K. & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials and Design, 31(4), 1785–1789. https://doi.org/10.1016/j.matdes.2009.11.020
]Search in Google Scholar
[
Mastilo, Z. (2016). Economic Policy as a Determinant of Development and More Efficient Business Operation in the Republic of Srpska. Business and Management Studies, 2(4), 70-77. https://ideas.repec.org/a/rfa/bmsjnl/v2y2016i4p70-77.html
]Search in Google Scholar
[
Mastilo, Z., Štilić, A., Gligović, D. & Puška, A. (2024). Assessing the Banking Sector of Bosnia and Herzegovina: An Analysis of Financial Indicators through the MEREC and MARCOS Methods. Journal of Central Banking Theory and Practice, 13(1), 167-197. https://doi.org/10.2478/jcbtp-2024-0008
]Search in Google Scholar
[
Mastilo, Z., Božovic, N. & Mastilo, D. (2021). Central Bank in the Function of Development of National Economy of Bosnia and Herzegovina. International Letters of Social and Humanistic Sciences, 90, 26-36. https://philpapers.org/rec/MASCBI
]Search in Google Scholar
[
Mešić, A., Miškić, S., Stević, Z. & Mastilo, Z. (2022). Hybrid MCDM solutions for evaluation of the logistics performance index of the Western Balkan countries. ECONOMICS - Innovative and Economics Research Journal, 10(1), 13-34. https://doi.org/10.2478/eoik-2022-0004
]Search in Google Scholar
[
Muhammad, L. J., Badi, I., Haruna, A. A. & Mohammed, I. A. (2021). Selecting the Best Municipal Solid Waste Management Techniques in Nigeria Using Multi Criteria Decision Making Techniques. Reports in Mechanical Engineering, 2 (1), 180–189. https://www.rme-journal.org/index.php/asd/article/view/48
]Search in Google Scholar
[
National Credit Union Administration. https://ncua.gov/files/letters-credit-unions/camels-rating-system-appendix-a.pdf
]Search in Google Scholar
[
Nedeljković, M., Puška, A., Štilić, A. & Maksimović, A. (2024). Examining of the sustainable rural tourist potential of Semberija using multi-criteria analysis methods. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-04395-3
]Search in Google Scholar
[
Ngo, Q. T., Nguyen, V. T., Nguyen, V. T. & Husain, S. T. (2022). Fuzzy Decision Model: Evaluating and Selecting Open Banking Business Partners. Computers, Materials & Continua, 72(3), 4557-4570. https://doi.org/10.32604/cmc.2022.022417
]Search in Google Scholar
[
Nguyen, N. T. & Do, D. T. (2021). Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process. Journal of Applied Engineering Science, 19(2), 390 – 398. https://doi.org/10.5937/jaes0-28702
]Search in Google Scholar
[
Nguyen, P. H., Tsai, J. F., Hu, Y. C. & Kumar, G. V. A. (2021). A Hybrid Method of MCDM for Evaluating Financial Performance of Vietnamese Commercial Banks under COVID-19 Impacts. Studies in Systems, Decision and Control Shifting Economic, Financial and Banking Paradigm, 382, 23-45. https://doi.org/10.1007/978-3-030-79610-5_2
]Search in Google Scholar
[
Nguyen, P. T. (2022). The Impact of Banking Sector Development on Economic Growth: The Case of Vietnam’s Transitional Economy. Journal of Risk and Financial Management, 15. https://doi.org/10.3390/jrfm15080358
]Search in Google Scholar
[
Nguyen, T. H. V. (2020). Bank Ranking According to CAMELS Standard. Banking Technology Development Research Institute, University of Economics and Law, Ho Chi Minh City National University (in Vietnammese).
]Search in Google Scholar
[
Ozcalici, M. & Bumin, M. (2020). An integrated multi-criteria decision making model with Self-Organizing Maps for the assessment of the performance of publicly traded banks in Borsa Istanbul. Applied Soft Computing, 90. https://doi.org/10.1016/j.asoc.2020.106166
]Search in Google Scholar
[
Peter, S. R., & Sylvia, C. H. (2008). Bank management & financial services. McGraw-Hill/Irwin. https://www.amazon.com/Management-Financial-Services-McGraw-Hill-Insurance/dp/007304623X
]Search in Google Scholar
[
Phan, T. T. & Bui, V. T. (2017). The industry 4.0 factor affecting the service quality of commercial banks in dong nai province. European Journal of Accounting Auditing and Finance Research, 5(9), 81-91. https://www.eajournals.org/wp-content/uploads/The-Industry-4.0-Factor-Affecting-The-Service-Quality-of-Commercial-Banks-in-Dong-Nai-Province.pdf
]Search in Google Scholar
[
Puška, A., Božanić, D., Mastilo, Z. & Pamučar, D. (2023). Extension of MEREC-CRADIS methods with double normalization-case study selection of electric cars. Soft Computing, 27(11), 7097-7113. https://doi.org/10.1007/s00500-023-08054-7
]Search in Google Scholar
[
Puska, A., Stilic, A., Pamucar, D., Bozanic, D. & Nedeljkovic, M. (2024). Introducing a Novel Multi-Criteria Ranking of Alternatives with Weights of Criterion (RAWEC) Model. MethodsX, 12. https://doi.org/10.1016/j.mex.2024.102628
]Search in Google Scholar
[
Qureshi, A. M. & Rachid, A. (2022). Comparative Analysis of Multi-Criteria Decision-Making Techniques for Outdoor Heat Stress Mitigation. Applied Sciences, 12. https://doi.org/10.3390/app122312308
]Search in Google Scholar
[
Quynh, V. T. N. (2023). An Integrated Dynamic Generalized Trapezoidal Fuzzy AHPTOPSIS Approach for Evaluating Sustainable Performance of Bank. Advances in Decision Sciences, 72(2), 68-86. https://ideas.repec.org/a/aag/wpaper/v27y2023i1p68-86.html
]Search in Google Scholar
[
Reda M. S. A. & Omer, A. (2022). Two New Approaches (RAMS-RATMI) in Multi-Criteria Decision-Making Tactics. Journal of Mathematic, 2022. https://doi.org/10.1155/2022/6725318
]Search in Google Scholar
[
Roy, P. K. & Shaw K. (2022). An integrated fuzzy model for evaluation and selection of mobile banking (mbanking) applications using new fuzzyBWM and fuzzyTOPSIS. Complex & Intelligent Systems, 8, 2017–2038. https://doi.org/10.1007/s40747-021-00502-x
]Search in Google Scholar
[
Sam, H. R., Kosuri, S. V. K., & Kalvakolan, S. (2020). Evaluating and ranking the Indian private sector banks – A multi-criteria decision-making approach, Journal of Public Affairs, 22(2). https://doi.org/10.1002/pa.2419
]Search in Google Scholar
[
Schinasi, G. J. (2005). Safeguarding Financial Stability: Theory and Practice, International Monetary Fund. https://doi.org/10.5089/9781589064409.071
]Search in Google Scholar
[
Shiyyab, F. S., Alzoubi, A. B., Obidat, Q. M., & Alshurafat, H. (2023). The Impact of Artificial Intelligence Disclosure on Financial Performance. International Journal of Financial Studies, 11(115). https://doi.org/10.3390/ijfs11030115
]Search in Google Scholar
[
Tešić, D., Božanić, D., & Khalilzadeh, M. (2024). Enhancing Multi-Criteria Decision-Making with Fuzzy Logic: An Advanced Defining Interrelationships Between Ranked II Method Incorporating Triangular Fuzzy Numbers. Journal of Intelligent Management Decision, 3(1), 56-67. https://doi.org/10.56578/jimd030105
]Search in Google Scholar
[
Tran, T. V.A., Nguyen, T. N. & Tran, T. T. T. (2020). Dealing with Non-Performing Loans during The Bank Restructuring Process in Vietnam: Assessment Using The AHP and TOPSIS Methods. Gadjah Mada International Journal of Business, 23(3) 323-347. https://doi.org/10.22146/gamaijb.44453
]Search in Google Scholar
[
Tran, V. D. (2022). Application of the Collaborative Unbiased Rank List Integration method to select the materials. Applied Engineering Letters, 7(4), 133-142. https://doi.org/10.18485/aeletters.2022.7.4.1
]Search in Google Scholar
[
Trung D. D., Phuong Giang, N. T. & Son, N. H. (2024). Comparision of both methods PSI and CURLI: applied in solving multi-objective optimization problem of turning process. EUREKA: Physics and Engineering, 2024(1), 167–179. https://doi.org/10.21303/2461-4262.2024.003071
]Search in Google Scholar
[
Truong, N, X., Ašonja, A. & Trung, D. D. (2023). Enhancing handheld polishing machine selection: an integrated approach of MARCOS methods and weight determination techniques. Applied Engineering Letters, 8(3), 131-138. https://doi.org/10.18485/aeletters.2023.8.3.5
]Search in Google Scholar
[
Uyen, V. T. N. & Thu, P. X. (2023). The multi-criteria decision-making method: selection of support equipment for classroom instructors. Applied Engineering Letters, 8(4), 148-157. https://doi.org/10.18485/aeletters.2023.8.4.2
]Search in Google Scholar
[
Wang, C. N., Tsai, H. T., Ho, T. P., Nguyen, V. T. & Huang, Y. F. (2020). Multi-Criteria Decision Making (MCDM) Model for Supplier Evaluation and Selection for Oil Production Projects in Vietnam. Processes, 8(134). https://doi.org/10.3390/pr8020134
]Search in Google Scholar
[
Wen, Z., Liao, H. & Zavadskas, E. K. (2020). MACONT: Mixed Aggregation by Comprehensive Normalization Technique for Multi-Criteria Analysis. Informatica, 31(4), 857–880. https://doi.org/10.15388/20-INFOR417
]Search in Google Scholar
[
Widianta M. M. D., Rizaldi, T., Setyohadi, D. B. S. & Riskiawan, H. Y. (2018). Comparison of Multi-Criteria Decision Support Methods (AHP, TOPSIS, SAW & PROMENTHEE) for Employee Placement. IOP Conf. Series: Journal of Physics: Conf. Series, 953. https://doi.org/10.1088/1742-6596/953/1/012116
]Search in Google Scholar
[
Zakeri, S., Chatterjee, P., Konstantas, D. & Ece, F. (2024). A comparative analysis of simple ranking process and faire un Choix Adéquat method. Decision Analytics Journal, 10. https://doi.org/10.1016/j.dajour.2023.100380
]Search in Google Scholar
[
Zakeri, S., Chatterjee, P., Konstantas, D. & Ecer, F. (2023). A decision analysis model for material selection using simple ranking process. Scientifc Reports, 13(1), 1-34. https://doi.org/10.1038/s41598-023-35405-z
]Search in Google Scholar
[
Zavadskas, E. K., Antucheviciene, J., Chatterjee, P. (2019). Multiple-Criteria Decision Making (MCDM) Techniques for Business Processes Information Management. Information, MPDI. https://doi.org/10.3390/books978-3-03897-643-1
]Search in Google Scholar
[
Zhu, X., Meng, X. & Zhang, M. (2021). Application of multiple criteria decision making methods in construction: a systematic literature review. Journal of Civil Engineering and Management, 27(6). https://doi.org/10.3846/jcem.2021.15260
]Search in Google Scholar
[
Ziemba, P., Becker, J., Becker, A. & Radomska-Zalas, A. (2023). Framework for multi-criteria assessment of classification models for the purposes of credit scoring. Journal of Big Data, 10(94). https://doi.org/10.1186/s40537-023-00768-7
]Search in Google Scholar
[
Zopounidis, C. & Doumpos, M. (2017). Multiple Criteria Decision Making: Applications in Management and Engineering. Springer. https://doi.org/10.1007/978-3-319-39292-9
]Search in Google Scholar
