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Solving multi-objective matrix games with fuzzy payoffs through the lower limit of the possibility degree. (English) Zbl 1425.91070

Summary: In this article, we put forward the multi-objective matrix game model based on fuzzy payoffs. In order to solve the game model, we first discuss the relationship of two fuzzy numbers via the lower limit \(-\frac{1}{2}\) of the possibility degree. Then, utilizing this relationship, we conclude that the equilibrium solution of this game model and the optimal solution of multicriteria linear optimization problems are of equal value. Finally, to illustrate the effectiveness and correctness of the obtained model, an example is provided.

MSC:

91A40 Other game-theoretic models
90C70 Fuzzy and other nonstochastic uncertainty mathematical programming

References:

[1] Blackwell, D.; An analog of the minimax theorem for vector payoffs; Pac. J. Math.: 1956; Volume 6 ,1-8. · Zbl 0074.34403
[2] Zeleny, M.; Games with multiple payoffs; Int. J. Game Theory: 1975; Volume 4 ,179-191. · Zbl 0395.90093
[3] Ghose, D.; Prasad, U.R.; Solution concepts in two-person multicriteria games; J. Optim. Theory Appl.: 1989; Volume 63 ,167-189. · Zbl 0662.90093
[4] Fernández, F.R.; Puerto, J.; Vector linear programming in zero-sum multicriteria matrix games; J. Optim. Theory Appl.: 1996; Volume 89 ,115-127. · Zbl 0866.90139
[5] Zadeh, L.A.; Fuzzy sets; Inf. Control: 1965; Volume 8 ,338-353. · Zbl 0139.24606
[6] Bector, C.R.; Chandra, S.; Vidyottama, V.; Matrix games with fuzzy goals and fuzzy linear programming duality; Fuzzy Optim. Decis. Mak.: 2004; Volume 3 ,255-269. · Zbl 1079.90183
[7] Bector, C.R.; Chandra, S.; ; Fuzzy Mathematical Programming and Fuzzy Matrix Games: Berlin, Germany 2005; . · Zbl 1078.90071
[8] Chen, B.S.; Tseng, C.S.; Uang, H.J.; Fuzzy differential games for nonlinear stochastic systems: Suboptimal approach; IEEE Trans. Fuzzy Syst.: 2002; Volume 10 ,222-233.
[9] Garagic, D.; Cruz, J.B.; An Approach to Fuzzy Noncooperative Nash Games; J. Optim. Theory Appl.: 2003; Volume 118 ,475-491. · Zbl 1073.91002
[10] Vijay, V.; Chandra, S.; Bector, C.R.; Matrix games with fuzzy goals and fuzzy payoffs; Omega: 2005; Volume 33 ,425-429.
[11] Žilinskas, J.; Bector, C.R.; Chandra, S.; Fuzzy Mathematical Programming and Fuzzy Matrix Games; Interfaces: 2007; Volume 37 ,388-389.
[12] Baumgarten, C.; Old Game, New Rules: Rethinking the Form of Physics; Symmetry: 2016; Volume 8 . · Zbl 1373.81014
[13] Byun, S.S.; Gil, J.M.; Fair Dynamic Spectrum Allocation Using Modified Game Theory for Resource-Constrained Cognitive Wireless Sensor Networks; Symmetry: 2017; Volume 9 .
[14] Deng, X.; Jiang, W.; Zhang, J.; Zero-sum matrix game with payoffs of Dempster-Shafer belief structures and its applications on sensors; Sensors: 2017; Volume 17 .
[15] Khanzadi, M.; Turskis, Z.; Ghodrati, A.G.; Chalekaee, A.; A model of discrete zero-sum two-person matrix games with grey numbers to solve dispute resolution problems in construction; J. Civ. Eng. Manag.: 2017; Volume 23 ,824-835.
[16] Medineckiene, M.; Zavadskas, E.K.; Turskis, Z.; Dwelling selection by applying fuzzy game theory; Arch. Civ. Mech. Eng.: 2011; Volume 11 ,681-697.
[17] Park, Y.; Hyun, S.; Characterizations of Network Structures Using Eigenmode Analysis; Symmetry: 2015; Volume 7 ,962-975. · Zbl 1372.82051
[18] Peldschus, F.; Zavadskas, E.K.; Fuzzy matrix games multi-criteria model for decision-making in engineering; Informatica: 2005; Volume 16 ,107-120. · Zbl 1121.91008
[19] Ye, F.; Dai, J.; Li, Y.; Game Algorithm for Resource Allocation Based on Intelligent Gradient in HetNet; Symmetry: 2017; Volume 9 .
[20] Bhaumik, A.; Roy, S.K.; Li, D.F.; Analysis of triangular intuitionistic fuzzy matrix games using robust ranking; J. Intell. Fuzzy Syst.: 2017; Volume 33 ,327-336. · Zbl 1376.91015
[21] Tan, C.; Jiang, Z.Z.; Chen, X.; Ip, W.H.; A Banzhaf function for a fuzzy game; IEEE Trans. Fuzzy Syst.: 2014; Volume 22 ,1489-1502.
[22] Cevikel, A.C.; Ahlatcioğlu, M.; Solutions for fuzzy matrix games; Comput. Math. Appl.: 2010; Volume 60 ,399-410. · Zbl 1201.91003
[23] Chakeri, A.; Habibi, J.; Heshmat, Y.; Fuzzy type-2 Nash equilibrium; Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control and Automation: ; ,398-402.
[24] Chakeri, A.; Dariani, A.N.; Lucas, C.; How can fuzzy logic determine game equilibriums better?; Proceedings of the 4th International IEEE Conference on Intelligent Systems(IS’08): ; ,251-256.
[25] Chakeri, A.; Sadati, N.; Sharifian, S.; Fuzzy Nash equilibrium in fuzzy games using ranking fuzzy numbers; Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ): ; ,1-5.
[26] Chakeri, A.; Sheikholeslam, F.; Fuzzy Nash equilibriums in crisp and fuzzy games; IEEE Trans. Fuzzy Syst.: 2013; Volume 21 ,171-176.
[27] Chakeri, A.; Sadati, N.; Dumont, G.A.; Nash Equilibrium Strategies in Fuzzy Games; Game Theory Relaunched: Rijeka, Croatia 2013; .
[28] Sharifian, S.; Chakeri, A.; Sheikholeslam, F.; Linguisitc representation of Nash equilibriums in fuzzy games; Proceedings of the IEEE 2010 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS): ; ,1-6.
[29] Aggarwal, A.; Khan, I.; Solving multi-objective fuzzy matrix games via multi-objective linear programming approach; Kybernetika: 2016; Volume 52 ,153-168. · Zbl 1413.90319
[30] Chen, Y.W.; Larbani, M.; Two-person zero-sum game approach for fuzzy multiple attribute decision making problems; Fuzzy Sets Syst.: 2006; Volume 157 ,34-51. · Zbl 1117.91324
[31] Li, D.; Cheng, C.; Fuzzy multiobjective programming methods for fuzzy constrained matrix games with fuzzy numbers; Int. J. Uncertain. Fuzziness Knowl.-Based Syst.: 2002; Volume 10 ,385-400. · Zbl 1134.90488
[32] Sakawa, M.; Nishizaki, I.; Max-min solutions for fuzzy multiobjective matrix games; Fuzzy Sets Syst.: 1994; Volume 67 ,53-69. · Zbl 0844.90117
[33] Qiu, D.; Dong, R.; Chen, S.; Li, A.; On an Optimization Method Based on Z-Numbers and the Multi-Objective Evolutionary Algorithm; Intell. Autom. Soft Comput.: 2017; ,1-4.
[34] Sun, J.; Gong, D.; Sun, X.; Solving interval multi-objective optimization problems using evolutionary algorithms with lower limit of possibility degree; Chin. J. Electron.: 2013; Volume 22 ,269-272.
[35] Diamond, P.; Kloeden, P.; Metric spaces of fuzzy sets; Fuzzy Sets Syst.: 1990; Volume 35 ,241-249. · Zbl 0704.54006
[36] Dubois, D.J.; ; Fuzzy Sets and Systems: Theory and Applications: Pittsburgh, PA, USA 1980; . · Zbl 0444.94049
[37] Osuna-Gómez, R.; Chalco-Cano, Y.; Rufián-Lizana, A.; Hernández-Jiménez, B.; Necessary and sufficient conditions for fuzzy optimality problems; Fuzzy Sets Syst.: 2016; Volume 296 ,112-123. · Zbl 1374.49032
[38] Li, L.; Liu, S.; Zhang, J.; On fuzzy generalized convex mappings and optimality conditions for fuzzy weakly univex mappings; Fuzzy Sets Syst.: 2015; Volume 280 ,107-132. · Zbl 1373.90180
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