[1] S. Talluri and R. Narasimhan, “A methodology for strategic sourcing,” Eur J Oper Res, vol. 154, pp. 236 250, 2004.##
[2] M. Shafiee, H. Saleh, and M. Ghaderi, “Benchmarking in the Supply Chain Using Data Envelopment Analysis and System Dynamics Simulations,” Iranian Journal of Supply Chain Management, vol. 23, pp. 5570, 2021.##
[3] J. Wu, L. Liang, F. Yang, and H. Yan, “Bargaining game model in the evaluation of decision making units. Expert Syst Appl,” vol. 36, pp. 4357-4362, 2009.##
[4] D. M. Lambert and M.C. Cooper, “issues in supply chain Management, Ind market manage,” vol. 29, pp. 65-83, 2000.##
[5] M. Farrell, “The measurement of productive efficiency,” Journal of the Royal Statistics Society, vol. 120, pp. 253-281, 1957.##
[6] A. Charnes, W. Cooper, and E. Rhodes, “Measuring the efficiency of decision making units,” vol. 2,
pp. 429 – 444, 1978.##
[7] R. D. Banker, A. Charnes, and W. W. Cooper, “Some models for estimating technical and Scale inefficiencies in data envelopment analysis,” Manage Sci, vol. 30, pp. 1078–1092, 1984.##
[8] G. R. Jahanshahloo, F. Hosseinzadeh Lotfi, and
H. Nikomaram, “Data Envelopment Analysis and it's Applications. Second Edition Tehran: Islamic Azad University Publications Science and Research Branch,” 2016. (In Persian)##
[9] A. Gholamabri, “Evaluating the Efficiency of Social Security in Isfahan Province. Economical Modeling,” vol. 8, pp. 189-215, 2015. (In Persian) ##
[10] J. F. Nash, “The bargaining problem Economica,” vol. 18, pp. 155–162, 1950.##
[11] M. R. Darvishzadeh, B. Rastgoo, “Algebraic methods in game theory. Mathematical Culture and Thought,” vol. 37, pp. 149-165, 2018. (In Persian)##
[12] N. Mansouri, Y. Mosavi jahromy, A. Abolhasani, and B. Shayegani, “Analyzing the Relationship among Government, Central Bank and Speculators in Iran: Approach of Game Theory and Nash Equilibrium. Journal of Economics and Modeling,” vol. 7, pp. 139167, 2017. (In Persian)##
[13] M. Shokri, M. Jahangoshai Rezaee and H. Izadbakhsh, “A unified performance evaluation model in competitive environmen tby combining of data envelopment analysis, balanced scorecard and game theory-case study: Cement companies,” Advances in Industrial Engineering, vol. 49, pp. 45-54, 2015. (In Persian) ##
[14] F. Yang, D. Wu, L. Liang, G. Bi, and D. D. Wu, “Supply chain DEA: production possibility set and performance evaluation model,” Ann Oper Res. vol. 185, pp. 195–211, 2011.##
[15] M. Wang, Y. Li, “Supplier evaluation based on Nash bargaining game model. Expert Syst Appl,” vol. 41, pp. 4181–4185, 2014.##
[16] C. Y. Lee, “Mixed-strategy Nash equilibrium in data envelopment analysis. Eur J Oper Res,” vol. 266, pp. 1013–1024, 2018.##
[17] J. Chu, J. Wu, C. Chu, and T. Zhang, “DEA based fixed cost allocation in two-stage systems: leader
follower and satisfaction degree bargaining game approaches,” Omega (Elsevier), vol. 94, 2019.##
[18] R. Mahmoudi, A. Emrouznejad, and M. RastiBarzoki, “A bargaining game model for performance assessment in network DEA considering sub networks: a real case study in banking. Neural Comput Appl, vol. 31, pp. 6429–6447, 2018.##
[19] M. Örkcü, V. S. Özsoy, and H. H. Örkcü, “An optimistic-pessimistic DEA model based on game cross efficiency approach. RAIRO: Operations Research,” vol. 54, pp. 1215–1230, 2020.##
[20] S. Hendiani, A. Mahmoudi, and H. Liao, “A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection,” vol. 94, pp. 106-456, 2020.##
[21] J. Majchráková and I. Kremeňová, “Transportation Cost as an Important Element of a Supplier Selection Process Based on a Multi-Criteria Decision Analysis,” Transportation Research Procedia, vol. 55, pp. 63–70, 2021.##
[22] A. K. Yazdi, P. F. Wanke, T. Hanne, F. Abdi, and
A. H.Sarfaraz, “Supplier selection in the oil and gas industry: A comprehensive approach for Multi-Criteria Decision Analysis,” Socioecon Plann Sci, p. 101142, 2021.##
[23] R. Garmabaki, M. khalili, M. ghalandari, J. amirian, and M. amirizadehbehbahani, “Evaluating the product efficiency of Golberg Baharan Company with a product development approach Use of Data Envelopment Analysis (DEA),” Iranian Journal of Supply Chain Management, vol. 19, pp. 21-28, 2018. (In Persian) ##
[24] H .Zare Ahmadabadi, S. Masoudian, and M. R. Zare Banadkouki, “Evaluating the technical efficiency of Yazd City health centers with a combined approach of DEA and GT,” Journal of Shahid Sadoughi University of Medical Sciences, vol. 26, pp. 717-732, 2018. (In Persian) ##
[25] M. Rabbani and H. Farrokhi, “Integrating Data Envelopment Analysis and Reverse Auction Using Bi-level Programming Approach. Iranian Journal
of Supply Chain Management,” vol. 20, pp. 69-83, 2018. (In Persian) ##
[26] M. Shafiee and P. Farahgol, “Using Game Theory in Analyzing the Supply Chain With The Customer Market Approach. (Case Study: Fars Cement),” Industrial Management Studies, vol. 17, pp. 185-217, 2019. (In Persian)##
[27] B. Fathi, and R. Zeinalzadeh, “Measuring the efficiency of Iranian electricity distribution companies, a combined approach to bargaining game with DEA,” Quarterly Journal of Energy Policy and Planning Research. vol. 6, pp. 57- 83, 2020. (In Persian) ##
[28] A. Mahmoudi, D. Shishebori, and A. Sadegheih, “Pricing for a multi-channel supply chain with the participation of a third-party logistics service: A game theory approach,” Iranian Journal of Supply Chain Management, vol. 22, pp. 23-34, 2020. (In Persian)##
[29] S. Dehghan Khavari and S. Derakhsh, “an Innovative Throughout Conceptual Model Framework for Logistics Integration,” Iranian Journal of Supply Chain Management, vol. 23, pp. 37-54, 2021. (In Persian)##
[30] N. Jain and A. R. Singh, “Sustainable supplier selection under must-be criteria through Fuzzy inference system,” J Clean Prod, p. 119275, 2019.##
[31] A. Amini, and S. Abdollahzadeh Moghaddam Teymourlu, “A Model for Evaluating and Selecting the Food Suppliers for Hospitals in Indeterminate Conditions,” Health Research Journal, vol. 5, pp. 1631, 2019. (In Persian)##
[32] S. Kumar, S. Kumar, and A. G. Barman, “Supplier selection using fuzzy TOPSIS multi criteria model for a small scale steel manufacturing unit,” Procedia Comput Sci, vol. 133, pp. 905–912, 2018.##
[33] F. Zhang, J. Chen, Y. Zhu, Z. Zhuang, and J. Li, “Generalized score functions on interval-valued intuitionistic fuzzy sets with preference parameters for different types of decision makers and their application,” Applied Intelligence. Vol. 48, pp. 84-95, 2018.##
[34] S. Wan, G. Xu, and J. Dong, “Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment,” Inform Scie. vol. 385, pp. 19-38, 2018.##
[35] M. Yazdani, P. Chatterjee, E. Zavadskas, and S. Hashemkhani Zolfani, Integrated QFD-MCDM framework for green supplier selection,” J Cleaner Product, vol. 142, pp. 28-40, 2017. (In Persian)##
[36] T. R. Sexton and H. F. Lewis, “Two-stage DEA: An application to major league baseball, J Product Anal,” vol. 19, pp. 227-249, 2003.##
)
