N-person credibilistic strategic game

Rui LIANG, Yueshan YU, Jinwu GAO, Zhi-Qiang LIU

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PDF(160 KB)
Front. Comput. Sci. ›› 2010, Vol. 4 ›› Issue (2) : 212-219. DOI: 10.1007/s11704-010-0511-7
RESEARCH ARTICLE

N-person credibilistic strategic game

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Abstract

This paper enlarges the scope of fuzzy-payoff game to n-person form from the previous two-person form. Based on credibility theory, three credibilistic approaches are introduced to model the behaviors of players in different decision situations. Accordingly, three new definitions of Nash equilibrium are proposed for n-person credibilistic strategic game. Moreover, existence theorems are proved for further research into credibilistic equilibrium strategies. Finally, two numerical examples are given to illustrate the significance of credibilistic equilibria in practical strategic games.

Keywords

fuzzy variable / credibility measure / strategic game / credibilistic equilibrium

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Rui LIANG, Yueshan YU, Jinwu GAO, Zhi-Qiang LIU. N-person credibilistic strategic game. Front Comput Sci Chin, 2010, 4(2): 212‒219 https://doi.org/10.1007/s11704-010-0511-7

References

[1]
Nash J F. Equilibrium points in n-person games. Proceedings of the National Academy of Sciences of the United States of America, 1950, 36(1): 48-49
CrossRef Google scholar
[2]
Nash J. Non-cooperative games. Annals of Mathematics, 1951, 54(2): 286-295
CrossRef Google scholar
[3]
Harsanyi J C. Games with incomplete information. American Economic Review, 1995, 85: 291-303
[4]
Blau R A. Random-payoff two-person zero-sum games. Operations Research, 1974, 22(6): 1243-1251
CrossRef Google scholar
[5]
Cassidy R G, Field C A, Kirby M J L. Solution of a satisficing model for random payoff games. Management Science, 1972, 19(3): 266-271
CrossRef Google scholar
[6]
Zadeh L A. Fuzzy sets. Information and Control, 1965, 8(3): 338-353
CrossRef Google scholar
[7]
Maeda T. Characterization of the equilibrium strategy of the bimatrix game with fuzzy payoff. Journal of Mathematical Analysis and Applications, 2000, 251(2): 885-896
CrossRef Google scholar
[8]
Campos L, Gonzalez A, Vila M A. On the use of the ranking function approach to solve fuzzy matrix games in a direct way. Fuzzy Sets and Systems, 1992, 49(2): 193-203
CrossRef Google scholar
[9]
Nishizaki I, Sakawa M. Equilibrium solutions for multiobjective bimatrix games with fuzzy payoffs and fuzzy goals. Fuzzy Sets and Systems, 2000, 111(1): 99-116
CrossRef Google scholar
[10]
Liu B. Uncertainty Theory: An Introduction to Its Axiomatic Foundations. Springer-Verlag, Berlin, 2004
[11]
Liu B. Uncertainty Theory. Springer-Verlag, Berlin, 2nd edition, 2007.
[12]
Liu B. A survey of credibility theory. Fuzzy Optimization and Decision Making, 2006, 5(4): 387-408
CrossRef Google scholar
[13]
Gao J. Credibilistic game with fuzzy information. Journal of Uncertain Systems, 2007, 1(1): 74-80
[14]
Gao J, Liu Z Q, Shen P. On characterization of credibilistic equilibria of fuzzy-payoff two-player zero-sum game. Soft Computing, 2009, 13(2): 127-132
CrossRef Google scholar
[15]
Shen P, Gao J. Colitional game with fuzzy payoffs and the credibilistic core. Soft Computing, 2010, (to be published)
CrossRef Google scholar
[16]
Yu Y, Gao J. Credibilistic extensive game with fuzzy payoffs. Technical Report of Renmin University of China, 2008
[17]
Gao J, Liu B. Fuzzy multilevel programming with a hybrid intelligent algorithm. Computers & Mathematics with Applications (Oxford, England), 2005, 49(9-10): 1539-1548
CrossRef Google scholar
[18]
Osborne M J, Rubinstein A. A Course In Game Theory. The MIT Press, Cambridge, Massachusetts and London, England, 1994
[19]
Zadeh L A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1978, 1(1): 3-28
CrossRef Google scholar
[20]
Dubois D, Prade H. Possibility Theory. Plenum, New York, 1988
[21]
Liu B, Liu Y. Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 2002, 10(4): 445-450
CrossRef Google scholar
[22]
Liu Y, Gao J. The independence of fuzzy variables with applications to fuzzy random optimization. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007, 15(SUPPL. 2): 1-20
CrossRef Google scholar
[23]
Liu Y, Liu B. Expected value operator of random fuzzy variable and random fuzzy expected value models. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003, 11(2): 195-215
CrossRef Google scholar
[24]
Osborne M J. An Introduction to Game Theory. Oxford University Press, 2004

Acknowledgement

This work was supported by the National Natural Science Foundation of China (Grant No. 70601034).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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