Characterization of Nash Equilibrium Strategy for Heptagonal Fuzzy Games

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F. Madandar, S. Haghayeghi, S. M. Vaezpour

Abstract

In this paper, the Nash equilibrium strategy of two-person zero-sum games with heptagonal fuzzy payoffs is considered and the existence of Nash equilibrium strategy is studied. Also, based on the fuzzy max order several models in heptagonal fuzzy environment is constructed and the existence of their equilibrium strategies is proposed. In the sequel, the existence of Pareto Nash equilibrium strategies and weak Pareto Nash equilibrium strategies is investigated for fuzzy matrix games. Finally, the relation between Pareto Nash equilibrium strategy and parametric bi-matrix games is established.

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References

  1. C. R. Bector, S. Chandra, Fuzzy Mathematical Programming and Fuzzy Matrix Games, springer, Berlin, 2005.
  2. L. Campos, Fuzzy linear programming model to solve fuzzy matrix game, Fuzzy Sets Syst., 32(3)(1989), 275-289.
  3. Bapi Dutta, S. K. Gupta, On Nash equilibrium strategy of two-person zero-sum games with Trapezoidal fuzzy payoffs, Fuzzy Inf. Eng., 6(3)(2014), 299-314.
  4. Li Cunlin, Zhang Qiang, Nash equilibrium strategy for fuzzy non-cooperative games, Fuzzy Sets Syst., 176(1)(2011), 46-55.
  5. B. Liu, Uncertain programming. New York:wiley, 1999.
  6. B. Liu , Uncertainty theory. An introduction to its axiomatic foundations, Studies in Fuzziness and Soft Computing, 154, Springer-Verlag, Berlin, 2004.
  7. T. Maeda ,On characterization of equilibrium strategy of bimatrix games with fuzzy payoffs, J. Math. Anal. Appl., 251(2)(2000), 885-896.
  8. J. F Nash, Non-cooperative games , Ann. Math, 54(2)(1951), 286-295.
  9. J. von Neumann, O. Morgenstern, Theory of Games and Economic Behavior, Princeton University Press, Princeton, New Jersey, 1944.
  10. K. Rathi, S. Balamohan, Representation and Ranking of fuzzy numbers with Heptagonal membership function using value and Ambiguity index, Appl. Math. Sci., 87(8)(2014), 4309-4321.
  11. J. Ramik, J. R imanek, Inequality relation between fuzzy numbers and its use in fuzzy optimization, Fuzzy Sets Syst., 16(2)(1985), 123-138.
  12. M. Sakawa, Fuzzy Sets and Interactive Multiobjective Optimization, Plenum Press, New York, 1993.
  13. A. V. Yazenin, Fuzzy and stochastic programming, Fuzzy Sets Syst., 22(1-2)(1987), 171-180.
  14. L. A. Zadeh, Fuzzy sets, Information and Control, (8)(1965), 338-353.
  15. L. A. Zadeh, Fuzzy set as a basis for a theory of possibility, Fuzzy Sets Syst., 1(1978), 3-28.
  16. H. J. Zimmermann, Application of fuzzy set theory to mathematical programming, Inform. Sci., 36(1-2)(1985), 29-58.
  17. H. J. Zimmermann, Fuzzy Set Theory and its Applications, Second edition, Kluwer Academic Publishers, Boston, MA, 1992.