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Credibilistic Loss Aversion Nash Equilibrium for Bimatrix Games with Triangular Fuzzy Payoffs

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  • Chunsheng Cui
  • Zhongwei Feng
  • Chunqiao Tan

Abstract

Inspired by Shalev’s model of loss aversion, we investigate the effect of loss aversion on a bimatrix game where the payoffs in the bimatrix game are characterized by triangular fuzzy variables. First, we define three solution concepts of credibilistic loss aversion Nash equilibria, and their existence theorems are presented. Then, three sufficient and necessary conditions are given to find the credibilistic loss aversion Nash equilibria. Moreover, the relationship among the three credibilistic loss aversion Nash equilibria is discussed in detail. Finally, for bimatix game with triangular fuzzy payoffs, we investigate the effect of loss aversion coefficients and confidence levels on the three credibilistic loss aversion Nash equilibria. It is found that an increase of loss aversion levels of a player leads to a decrease of his/her own payoff. We also find that the equilibrium utilities of players are decreasing (increasing) as their own confidence levels when players employ the optimistic (pessimistic) value criterion.

Suggested Citation

  • Chunsheng Cui & Zhongwei Feng & Chunqiao Tan, 2018. "Credibilistic Loss Aversion Nash Equilibrium for Bimatrix Games with Triangular Fuzzy Payoffs," Complexity, Hindawi, vol. 2018, pages 1-16, December.
    • Handle: RePEc:hin:complx:7143586
    DOI: 10.1155/2018/7143586
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    References listed on IDEAS

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    Cited by:

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    2. Mengxin Liu & Wenyuan Tao & Xiao Zhang & Yi Chen & Jie Li & Chung-Ming Own, 2019. "GO Loss: A Gaussian Distribution-Based Orthogonal Decomposition Loss for Classification," Complexity, Hindawi, vol. 2019, pages 1-10, December.

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