Abstract
Inspired by Shalev’s model of loss aversion, we propose a bimatrix game with loss aversion, where the elements in payoff matrices are characterized as symmetric triangular fuzzy numbers, and investigate the effect of loss aversion on equilibrium strategies. Firstly, we define a solution concept of (α, β)-loss aversion Nash equilibrium and prove that it exists in any bimatrix game with loss aversion and symmetric triangular fuzzy payoffs. Furthermore, a sufficient and necessary condition is proposed to find the (α, β)-loss aversion Nash equilibrium. Finally, for a 2 × 2 bimatrix game with symmetric triangular fuzzy payoffs, the relation between the (α, β)-loss aversion Nash equilibrium and loss aversion coefficients is discussed when players are loss averse and it is analyzed when a player can benefit from his opponent’s misperceiving belief about his loss aversion level.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Asmus, T.C., Dimuro, G.P., Bedregal, B.: On two-player interval-valued fuzzy Bayesian games. Int. J. Intell. Syst. 32(6), 557–596 (2017)
Bector, C.R., Chandra, S., Vijay, V.: Duality in linear programming with fuzzy parameters and matrix games with fuzzy payoffs. Fuzzy Sets Syst. 146(2004), 253–269 (2004)
Bector, C.R., Chandra, S.: Fuzzy Mathematical Programming and Fuzzy Matrix Games. Springer, Berlin (2005)
Berg, J.: Statistical mechanics of random two-player games. Phys. Rev. E 61(3), 2327 (2000)
Blau, R.A.: Random-payoff two-person zero-sum games. Oper. Res. 22(6), 1243–1251 (1974)
Butnariu, D.: Fuzzy games, a description of the concept. Fuzzy Sets Syst. 1, 181–192 (1978)
Campos, L.: Fuzzy linear programming models to solve fuzzy matrix games. Fuzzy Sets Syst. 32(3), 275–289 (1989)
Cassidy, R.G., Field, C.A., Kirby, M.J.L.: Solution of a satisficing model for random payoff games. Manag. Sci. 19(3), 266–271 (1972)
Chandra, S., Aggarwal, A.: On solving matrix games with pay-offs of triangular fuzzy numbers: certain observations and generalizations. Eur. J. Oper. Res. 246(2), 575–581 (2015)
Charnes, A., Kirby, M.J., Raike, W.M.: Zero-zero chance-constrained games. Theory Probab. Appl. 13(4), 628–646 (1968)
Chen, Y., Liu, Y., Wu, X.: A new risk criterion in fuzzy environment and its application. Appl. Math. Model. 36(7), 3007–3028 (2012)
Dittmann, I., Maug, E., Spalt, O.: Sticks or carrots? Optimal CEO compensation when managers are loss averse. J. Finance 65, 2015–2050 (2010)
Driesen, B., Perea, A., Peters, H.: On loss aversion in bimatrix games. Theor. Decis. 68(4), 367–391 (2010)
Driesen, B., Perea, A., Peters, H.: The Kalai-Smorodinsky bargaining solution with loss aversion. Math. Soc. Sci. 61(1), 58–64 (2011)
Driesen, B., Perea, A., Peters, H.: Alternating offers bargaining with loss aversion. Math. Soc. Sci. 64(2), 103–118 (2012)
Dubois, D., Prade, H.: Ranking fuzzy numbers in the setting of possibility theory. Inf. Sci. 30(3), 183–224 (1983)
Dunn, L.F.: Loss aversion and adaptation in the labour market: empirical indifference functions and labour supply. Rev. Econ. Stat. 78, 441–450 (1996)
Ein-Dor, L., Kanter, I.: Matrix games with nonuniform payoff distributions. Phys. A 302(1), 80–88 (2001)
Fishburn, P.C., Kochenberger, G.A.: Two-piece Von Neumann-Morgenstern utility functions. Decis. Sci. 10(4), 503–518 (1979)
Freund, C., Özden, C.: Trade policy and loss aversion. Am. Econ. Rev. 98, 1675–1691 (2008)
Furukawa, N.: A parametric total order on fuzzy numbers and a fuzzy shortest route problem. Optimization 30, 367–377 (1994)
Gani, A.N., Assarudeen, S.N.M.: A new operation on triangular fuzzy number for solving fuzzy linear programming problem. Appl. Math. Sci. 6(12), 525–532 (2012)
Genesove, D., Mayer, C.: Loss aversion and seller behavior: evidence from the housing market. Quart. J. Econ. 116, 1233–1260 (2001)
Harsanyi, J.C.: Games with incomplete information played by ‘Bayesian’ player, Part I. The basic model. Manag. Sci. 14, 159–182 (1967)
Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 47, 263–291 (1979)
Kramer, R.M.: Windows of vulnerability or cognitive illusions? Cognitive processes and the nuclear arms race. J. Exp. Soc. Psychol. 25(1), 79–100 (1989)
Li, C., Zhang, Q.: Nash equilibrium strategy for fuzzy non-cooperative games. Fuzzy Sets Syst. 176(1), 46–55 (2011)
Li, D.F.: Linear programming approach to solve interval-valued matrix games. Omega 39(6), 655–666 (2011)
Li, D.F.: A fast approach to compute fuzzy values of matrix games with triangular fuzzy payoffs. Eur. J. Oper. Res. 223(2), 421–429 (2012)
Ma, W., Luo, X., Jiang, Y.: Matrix games with missing, interval, and ambiguous lottery payoffs of pure strategy profiles and compound strategy profiles. Int. J. Intell. Syst. 33(3), 529–559 (2018)
Maeda, T.: Characterization of the equilibrium strategy of the bimatrix game with fuzzy payoff. J. Math. Anal. Appl. 251(2), 885–896 (2000)
Maeda, T.: On characterization of equilibrium strategy of two-person zero-sum games with fuzzy payoffs. Fuzzy Sets Syst. 139(2), 283–296 (2003)
Moore, R.E.: Method and Application of Interval Analysis. SIAM, Philadelphia (1979)
Nan, J.X., Zhang, M.J., Li, D.F.: A methodology for matrix games with payoffs of triangular intuitionistic fuzzy number. J. Intell. Fuzzy Syst. 26(6), 2899–2912 (2014)
Nash, J.: Equilibrium points in n-person games. Proc. Natl. Acad. Sci. 36, 48–49 (1950)
Negoita, C., Zadeh, L., Zimmermann, H.: Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1(3–28), 61–72 (1978)
Nishazaki, I., Sakawa, M.: Equilibrium solution in bimatrix games with fuzzy payoffs. Jpn. J. Fuzzy Theory Syst. 9(3), 307–324 (1997)
Nishazaki, I., Sakawa, M.: Fuzzy and Multiobjective Games for Conflict Resolution. Studies in Fuzziness and Soft Computing, 64. Physica-Verlag, Heidelberg (2001)
Peters, H.: A preference foundation for constant loss aversion. Working Paper. Maastricht University (2010)
Peters, H.: A preference foundation for constant loss aversion. J. Math. Econ. 48(1), 21–25 (2012)
Ramík, J.: Inequality relation between fuzzy numbers and its use in fuzzy optimization. Fuzzy Sets Syst. 16(2), 123–138 (1985)
Roberts, D.P.: Nash equilibria of Cauchy-random zero-sum and coordination matrix games. Int. J. Game Theory 34(2), 167–184 (2006)
Rosenblatt-Wisch, R.: Loss aversion in aggregate macroeconomic time series. Eur. Econ. Rev. 52, 1140–1159 (2008)
Sakawa, M., Yano, H.: Feasibility and Pareto optimality for multi-objective programming problems with fuzzy parameters. Fuzzy Sets Syst. 40(1), 1–15 (1991)
Schmidt, U.: Reference dependence in cumulative prospect theory. J. Math. Psychol. 47, 122–131 (2003)
Shalev, J.: Loss aversion equilibrium. Int. J. Game Theory 29(2), 269–287 (2000)
Shalev, J.: Loss aversion and bargaining. Theor. Decis. 52, 201–232 (2002)
Sugden, R.: Reference-dependent subjective expected utility. J. Econ. Theory 111, 172–191 (2003)
Tan, C., Yi, W., Chen, X.: Bertrand game under a fuzzy environment. J. Intell. Fuzzy Syst. 34(4), 2611–2624 (2018)
Tan, C., Liu, Z., Wu, D.D., Chen, X.: Cournot game with incomplete information based on rank-dependent utility theory under a fuzzy environment. Int. J. Prod. Res. 56(5), 1789–1805 (2018)
Taylor, S.E.: Asymmetrical effects of positive and negative events: the mobilization-minimization hypothesis. Psychol. Bull. 110(1), 67 (1991)
Tversky, A., Kahneman, D.: Advances in prospect theory: cumulative representation of uncertainty. J. Risk Uncertain. 5, 297–323 (1992)
Vijay, V., Chandra, S., Bector, C.R.: Matrix games with fuzzy goals and fuzzy payoffs. Omega 33(5), 425–429 (2005)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
Acknowledgements
This work was supported by National Natural Science Foundation of China (Nos. 71671188 and 71874112), Beijing Intelligent Logistics System Collaborative Innovation Center (BILSCIC-2018KF-04), and Natural Science Foundation of Hunan Province, China (2016JJ1024).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Cui, C., Feng, Z., Tan, C. et al. Loss Aversion Equilibrium of Bimatrix Games with Symmetric Triangular Fuzzy Payoffs. Int. J. Fuzzy Syst. 21, 892–907 (2019). https://doi.org/10.1007/s40815-019-00611-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40815-019-00611-3