Nash equilibrium strategy for two-person zero-sum matrix games on credibility space
Abstract
In this paper, firstly, we obtain the credibility measure of fuzzy trapezoidal variables. Also, we attain theexpected value of fuzzy trapezoidal variables. Then, based on these theorems, we present the expectedvalue Nash equilibrium strategy of the fuzzy games. In other words, we extend the expected model to fuzzytrapezoidal variables and improve the previous researches in this area. However, in some cases, the gamedoesn't have the Nash equilibrium strategy. Therefore, we investigate the existence of Pareto Nash equilibriumand weak Pareto Nash equilibrium strategies in these cases.
Keywords
- Matrix game,
- fuzzy payoffs,
- Nash equilibrium,
- fuzzy trapezoidal variables
References
- L. Baoding, L. Yian-Kui, Expected value of fuzzy variable and fuzzy expected value models, IEEE Transactions onFuzzy Systems, 10 (2002), 445-450.[2]B. Dutta, S. K. Gupta, On Nash equilibrium strategy of two-person zero-sum games with trapezoidal fuzzy payffs,Fuzzy Inf. Eng., 6 (2014), 299-314.[3]L. Cunlin, Z. Qiang, Nash equilibrium strategy for fuzzy non-cooperative games, Fuzzy Sets and Systems., 176(2011), 46-55.[4]D. Jian, L. Cun-lin, Z. Gao-sheng, Two-person zero-sum matrix games om credibility space, 2011 Eighth InternationalConference on Fuzzy Systems and Knowledge Discovery (FSKD).[5]D. Dubios, H. Prade, Possibility theory, Plenum Press, New York, (1988).[6]B. Liu, Uncertain programming, Wiley, New York, (1999).[7]B. Liu, Uncertainty theory, Springer-Verlag, Berlin, (2007).[8]T. Maeda, On characterization of equilibrium strategy of bimatrix games with fuzzy payoffs, J. Math. Anal. Appl,251 (2000), 885-896.1[9]J. von Neumann, O. Morgenstern, Theory of games and economic behavior, Princeton University Press, Princeton,New Jersey, (1944).1[10]J. Nash, Non-cooperative games, Ann. of Math., 54 (1951), 286-295.[11]Martin J. Osborne , A. Rubinstein, A Course in game theory, MIT Press, Cambridge, MA, (1994).1[12]M. Sakawa, Fuzzy Sets and Interactive Multiobjective Optimization, Plenum Press, New York, (1993).[13]A. V. Yazenin, Fuzzy and stochastic programming, Fuzzy Sets and Systems, 22 (1987), 171-180.[14]A. V. Yazenin, On the problem of possibilistic optimization, Fuzzy Sets and Systems, 81 (1996), 133-140.[15]L. A. Zadeh, Fuzzy set as a basis for a theory of possibility, Fuzzy Sets and Systems, 1 (1978), 3-28.[16]H. J. Zimmermann, Application of fuzzy set theory to mathematical programming, Inform. Sci., 36 (1985), 29-58.