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A hybrid bi-objective mathematical model for multi-criteria ranking problem of the branches of Sepah bank: an integration of best-worst and SAW approaches | ||
| Journal of Mathematical Modeling | ||
| دوره 14، شماره 3، آبان 2026، صفحه 1125-1145 اصل مقاله (327.62 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22124/jmm.2026.32512.2948 | ||
| نویسندگان | ||
| Hamid Soleimanpour1؛ Sadegh Niroomand* 2؛ Zadollah Fathi2؛ Ali Mahmoodirad3 | ||
| 1Department of Financial Management, CT. C., Islamic Azad University, Tehran, Iran | ||
| 2Department of Industrial Engineering, Firouzabad Higher Education Center, Shiraz University of Technology, Shiraz, Iran | ||
| 3Department of Mathematics, Bab. C, Islamic Azad University, Babol, Iran | ||
| چکیده | ||
| In this study we consider the multi-criteria ranking problem of the branches of Sepah bank in Fars province of Iran. Compared to literature, a more complete set of criteria are considered to evaluate and rank the bank branches. The data for the last three years of the branches in the criteria are considered to evaluate and rank them. A bi-objective mathematical model is proposed to evaluate the criteria and the bank branches simultaneously. For this aim, for the first time the best-worst method (BWM) and simple additive weighting approach (SAW) are integrated by the proposed mathematical model. By applying the proposed model, the criteria and branches are weighted and ranked simultaneously. In order to solve the proposed bi-objective model, a modification of the fuzzy programming approach called TH approach is applied. Based on the nature of the proposed model and the solution approach and their parameters, several experiments are designed and their results are used for sensitivity analysis purposes. The proposed model and solution approach are highly sensitive to their parameters’ values. | ||
| کلیدواژهها | ||
| Best-worst method؛ simple additive weighting approach؛ multi-criteria decision-making؛ banking sector؛ hybridization | ||
| مراجع | ||
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[1] M. Aghaei, A. Asadollahi, A. Pakari, Ranking of Saman bank's branches in Tehran on the basis of customer satisfaction factors by F.M.C.D.M models, Int. J. Sci. Manag. Dev. 1(1) (2013) 46--61. [2] B. Alidade, M. Ghasemi, Ranking the branches of bank Sepah of Sistan Baluchistan using balanced score card and fuzzy multi-attribute decision-making methods, Res. J. Recent Sci. 4(4) (2015) 17--24. [3] M.A. Beheshtinia, S. Omidi, A hybrid MCDM approach for performance evaluation in the banking industry, Kybernetes 46(8) (2017) 1386--1407. [4] A. Bičo, M. Ganić, The efficiency of banking sector in Bosnia and Herzegovina in comparison to Slovenia: comparative analysis, J. Econ. Soc. Stud. 2(2) (2012) 125--149. [5] L. Botti, N. Peypoch, Multi-criteria ELECTRE method and destination competitiveness, Tour. Manag. Perspect. 6 (2013) 108--113. [6] S. Contreras, M.D. Delis, A. Ghosh, I. Hasan, Bank failures, local business dynamics, and government policy, Small Bus. Econ. 58(4) (2022) 1823--1851. [7] K. Elitcha, The moderating role of stock markets in the bank competition--entrepreneurship relationship, Small Bus. Econ. 56(3) (2021) 1333--1360. [8] F. Garcia, F. Guijarro, I. Moya, Ranking Spanish savings banks: A multicriteria approach, Math. Comput. Model. 52(7-8) (2010) 1058--1065. [9] B. Gavurova, J. Belas, K. Kocisova, T. Kliestik, Comparison of selected methods for performance evaluation of Czech and Slovak commercial banks, J. Bus. Econ. Manag. 18(5) (2017) 852--876. [10] A. Kazemi, J. Mousavi, Ranking Iranian private banks using multi-criteria decision-making methods, J. Quant. Res. Manag. 3(2) (2013) 121--140. [11] M. Keshavarz Ghorabaee, E.K. Zavadskas, L. Olfat, Z. Turskis, Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS), Informatica 26(3) (2015) 435--451. [12] M. Kumbirai, R. Webb, A financial ratio analysis of commercial bank performance in South Africa, Afr. Rev. Econ. Financ. 2(1) (2010) 30--53. [13] Y.J. Lai, T.Y. Liu, C.L. Hwang, TOPSIS for MODM, Eur. J. Oper. Res. 76(3) (1994) 486--500. [14] A. Mahmudi, H. Bagherlou, Ranking the bank stock with multi-criteria decision-making method, 3rd Iran. Manag. Account. Conf., Tehran University, 2014. [15] A.R. Motameni, M. Javadzadeh, M. Tizfahm, The strategy performance evaluation of the banks, J. Strateg. Manag. 1(4) (2010) 141--159. [16] A. Miglo, Crowdfunding and bank financing: substitutes or complements?, Small Bus. Econ. 59(3) (2022) 1115--1142. [17] S. Niroomand, A. Bazyar, M. Alborzi, H. Miami, A. Mahmoodirad, A hybrid approach for multi-criteria emergency center location problem considering existing emergency centers with interval type data: a case study, J. Ambient Intell. Humaniz. Comput. 9(6) (2018) 1999--2008. [18] S. Niroomand, N. Mirzaei, A. Hadi--Vencheh, A simple mathematical programming model for countries' credit ranking problem, Int. J. Finance Econ. 24(1) (2019) 449--460. [19] S. Niroomand, S. Mosallaeipour, A. Mahmoodirad, A hybrid simple additive weighting approach for constrained multicriteria facilities location problem of glass production industries under uncertainty, IEEE Trans. Eng. Manag. 67(3) (2019) 846--854. [20] E. Rasoulinejad, Ranking of selected branches of Bank Saderat in Tehran using the integrated model DEAHP and ANP, M.A. Thesis in Industrial Management, University of Tehran, Tehran, Iran, 2009 (in Persian). [21] J. Rezaei, Best--worst multi-criteria decision-making method, Omega 53 (2015) 49--57. [22] R.M. Said, M.H. Tumin, Performance and financial ratios of commercial banks in Malaysia and China, Int. Rev. Bus. Res. Pap. 7(2) (2011) 157--169. [23] N. Secme, A. Bayrakdaroglu, C. Kahraman, Fuzzy performance evaluation in Turkish banking sector using Analytic Hierarchy Process and TOPSIS, Expert Syst. Appl. 36(9) (2009) 11699--11709. [24] S.A. Seyfi-Shishavan, F. Kutlu Gündoğdu, E. Farrokhizadeh, An assessment of the banking industry performance based on intuitionistic fuzzy Best--Worst Method and fuzzy inference system, Appl. Soft Comput. 113 (2021) 107990. [25] H. Shahbandarzadeh, Design the method evaluated the performance bank branches by using multi-criteria decision-making techniques, Doctoral Dissertation, University of Tehran, Tehran, Iran, 2006. [26] S.A. Torabi, E. Hassini, An interactive possibilistic programming approach for multiple objective supply chain master planning, Fuzzy Sets Syst. 159(2) (2008) 193--214. [27] P. Wanke, M.A.K. Azad, C.P. Barros, Efficiency factors in OECD banks: A ten-year analysis, Expert Syst. Appl. 64 (2016) 208--227. | ||
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