Document Type : Original Article


1 Master's student in Macrosystems, Department of Industrial Engineering, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran

2 Associate Professor, Department of Logistics and Supply Chain Engineering, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran

3 Master's student in Macrosystems, Department of Industrial Engineering, Faculty of Technology and Engineering, Science and Research Unit, Islamic Azad University, Tehran, Iran

4 Bachelor of Business Administration, Department of Business Administration, Faculty of Management, Center Tehran Branch, Islamic Azad University, Tehran, Iran


In the current competitive market of automobile in Iran and the world, business partners play a key role in the success or failure of any organization. In fact, the survival, growth and development of businesses will depend on determining a strategic business partner. Therefore, choosing an experienced business partner is essential and requires the use of a precise decision-making method. In this paper, a multi-criteria decision-making method with the purpose of evaluating business partners is presented. This evaluation and ranking method is able to identify the interaction between criteria and consider it in the ranking process. At first, 22 variables corresponding to the conditions of the Iranian automobile industry were selected as criteria and 15 Chinese automobile companies were selected as alternatives. Then, Shannon's entropy technique was applied for weighting the criteria. Finally, the alternatives were ranked by the Choquet integral method. Next, the proposed technique was validated through comparison with TOPSIS method and the results were analyzed and compared. The results of the implementation of introduced technique indicate that the combination of Choquet integral decision-making method and Shannon's entropy is a simple, novel and also practical method and will be applicable in the real world.


[1]    Montazeri, J., & Zahed gharvi, M. (2020). Regulatory and Concentration in the Iranian Automotive Industry. Journal of Industrial Economics Research, 3(10), 87-103. [In Persian]. DOI: 10.30473/indeco.2020.7023.
[2]    Mahmodi, M., & Safaii, M. (2018). ontazeri, J., & Zahed gharvi, M. (2020). Partner appraisal and selection model for international joint venture companies in Iran Automotive industry. Journal of Business Management Perspective, 17(34), 91-110. [In Persian].
[3]    Khalili Araghi, S.M. (2008). Capital budgeting: multiple criteria. Economic research, 1(28), 99-118. [In Persian].
[4]    Mohammad Moradi, A., & Akhtarkavan, M. (2009). Multi-Criteria Decision Analysis Methods’ Methodology. Armanshahr Architecture & Urban Development journal, 2(2), 113-125. [In Persian].
[5]    Zhang, L. (2015). Inside China's Automobile Factories. Cambridge University Press.‏ 
[6]    Chu, W. W. (2011). How the Chinese government promoted a global automobile industry. Industrial and Corporate Change, 20(5), 1235-1276.‏ DOI: 10.1093/icc/dtr010. 
[7]    Deng, H., & Ma, A. C. (2010). Market structure and pricing strategy of China's automobile industry. The Journal of Industrial Economics, 58(4), 818-845.‏ DOI: 10.1111/j.1467-6451.2010. 00434.x
[8]    Chen, J. (2017). The Chinese automobile market and the strategies of European, American, Japanese, Korean and Chinese auto makers. International Relations and Diplomacy, 5(5), 241-257.‏ DOI:10.17265/2328 2134/2017.05.001 
[9]    Gao, Y., Teng, Z., Cai, Y., & Dong, X. (2021). The government-business relationship and eco-innovation: evidence from chinese automobile industry. Ecological Chemistry and Engineering, 28(4), 541-561.DOI: ‏10.2478/eces-2021-0036 
[10]    Ouyang, Y., & Yuan, L. (2022) Technological Innovation, Adverse Selection, and the Market Size Trap: Evidence from China's Automobile Industry. Adverse Selection, and the Market Size Trap: Evidence from China's Automobile Industry.‏ DOI: 10.2139/ssrn.4126886 
[11]    Hanifi, H., Azar, A., Manteghi, M. (2022). Scenario Writing for the Future of Driverless Cars. Management Research in Iran, 26(3), 118-143. DOR: 20.1001.1.2322200.1401.
[12]    Yousefi, A., & Hadi-Vencheh, A. (2010). An integrated group decision making model and its evaluation by DEA for automobile industry. Expert Systems with Applications, 37(12), 8543-8556.‏ DOI: 10.1016/j.eswa.2010.05.021 
[13]    Zamzam, F., zare ahmadabadi, H., naser sadrabadi, A., & Morovati Sharifabadi, A. (2022). A New Hybrid Approach Based on Data Envelopment Analysis of DFM with Undesirable Output and Cluster Analysis to Evaluate the Sustainable Development of Countries. Modern Research in Decision Making, 7(2), 53-86. DOR: 20.1001.1.24766291.1401.
[14]    Karbassi Yazdi, A., Hanne, T., Osorio Gómez, J. C., & García Alcaraz, J. L. (2018). Finding the best third-party logistics in the automobile industry: A hybrid approach. Mathematical Problems in Engineering, 2018(1), 1-19. DOI: 10.1155/2018/5251261  
[15]    Roy, S., Mohanty, S., & Mohanty, S. (2018). An efficient hybrid MCDM based approach for car selection in automobile industry. In 2018 international conference on researchin intelligent and computing in engineering (RICE) (pp. 1-5), San Salvador, El Salvador. IEEE.‏ DOI: 10.1109/RICE.2018.8509065 
[16]    Wang, X., Song, Y., Xia, W., Liu, H., & Yang, S. (2018). Promoting the development of the new energy automobile industry in China: technology selection and evaluation perspective. Journal of Renewable and Sustainable Energy, 10(4), 045901.‏ DOI: 10.1063/1.5012116  
[17]    Wang, X., Liu, J., & Ma, C. (2016). A Research on the cluster competitiveness evaluation of the Chinese automobile industry based on cuckoo-AHP. Chinese Management Studies, 10(4), 746-769. DOI: 10.1108/CMS-07-2016-0144  
[18]    Wang, X., Song, Y., Zhang, X., & Liu, H. (2019). Optimization of Subsidy Policy for New Energy Automobile Industry in China Based on an Integrated Fuzzy-AHP-TOPSIS Methodology. Mathematical Problems in Engineering, 2019(1), 1-16.‏ DOI: 10.1155/2019/4304806 
[19]    Andalib Ardakani, D., Hossini, M. (2023). Analysis the factors affecting performance evaluation of sustainable development in Small and Medium sized industries. Management Research in Iran, 27(1), 24-41. DOR:-
[20]    Jangizehi, M., Maleki, M. R., & Salmasnia, A. (2022). Ranking of sustainable development indicators in free zones using a hybrid method based on multi-criteria decision making (DANP) and factor analysis. Modern Research in Decision Making, 7(3), 1-26. DOR: 20.1001.1.24766291.1401.
[21]    Sugeno, M. (1974). Theory of fuzzy integrals and its applications. (Doct. Thesis, Tokyo Institute of technology).‏ Retrieved from    
[22]    Grabisch, M. (1995). Fuzzy integral in multicriteria decision making. Fuzzy sets and Systems, 69(3), 279-298.‏ DOI: 10.1016/0165-0114(94)00174-6
[23]    Sugeno, M. (2014). A way to Choquet calculus. IEEE Transactions on Fuzzy Systems, 23(5), 1439-1457.‏ DOI: 10.1109/TFUZZ.2014.2362148
[24]    Zhang, Z., & Xu, Z. (2014). On inverse problem of Choquet integral. Industrial Engineering & Management, 3(2). DOI: 10.4172/2169-0316.1000125
[25]    Demirel, N. Ç., Demirel, T., Deveci, M., & Vardar, G. (2017). Location selection for underground natural gas storage using Choquet integral. Journal of Natural Gas Science and Engineering, 45, 368-379.‏ DOI: 10.1016/j.jngse.2017.05.013  
[26]    Lo, H. W., Liou, J. J., Wang, H. S., & Tsai, Y. S. (2018). An integrated model for solving problems in green supplier selection and order allocation. Journal of cleaner production, 190, 339-352.‏ DOI: 10.1016/j.jclepro.2018.04.105  
[27]    Xia, M. (2022). Choquet-Integral-Based Data Envelopment Analysis with Stochastic Multicriteria Acceptability Analysis. Symmetry, 14(4), 642.‏ DOI: 10.3390/sym14040642   
[28]    Cındık, Z., & Armutlulu, I. H. (2021). A revision of Altman Z-Score model and a comparative analysis of Turkish companies’ financial distress prediction. National Accounting Review, 3 (2), 237–255.‏ DOI: 10.3934/NAR.2021012
[29]    Mubarik, M. S., Kazmi, S. H. A., & Zaman, S. I. (2021). Application of gray DEMATEL-ANP in green-strategic sourcing. Technology in Society, 64, 101524.‏ DOI: 10.1016/j.techsoc.2020.101524   
[30]    Balon, V., Sharma, A. K., & Barua, M. K. (2016). Assessment of barriers in green supply chain management using ISM: A case study of the automobile industry in India. Global Business Review, 17(1), 116-135.