A TRANSITION FROM TWO-PERSON ZERO-SUM GAMES TO COOPERATIVE GAMES WITH FUZZY PAYOFFS

Document Type : Research Paper

Authors

1 Yildiz Technical University,, Education Faculty,, Department of Mathematics Education,, Istanbul-Turkey

2 Yildiz Technical University,, Art-Science Faculty,, Department of Mathematics,, Istanbul-Turkey

Abstract

In this paper, we deal with games with fuzzy payoffs. We proved that players
who are playing a zero-sum game with fuzzy payoffs against Nature are able
to increase their joint payoff, and hence their individual payoffs by
cooperating. It is shown that, a cooperative game with the fuzzy
characteristic function can be constructed via the optimal game values of
the zero-sum games with fuzzy payoffs against Nature at which players'
combine their strategies and act like a single player. It is also proven
that, the fuzzy characteristic function that is constructed in this way
satisfies the superadditivity condition. Thus we considered a transition
from two-person zero-sum games with fuzzy payoffs to cooperative games with
fuzzy payoffs. The fair allocation of the maximum payoff (game value) of
this cooperative game among players is done using the Shapley vector.

Keywords


[1] J. P. Aubin, Mathematical Methods of Game and Economic Theory, North-Holland, Ams-
terdam, 1979.
[2] J. P. Aubin, Cooperative fuzzy game, Math. of Oper. Res., 6 (1981), 1-13.
[3] C. R. Bector, S. Chandra and V. Vijay, Duality in linear programming with fuzzy parameters
and matrix games with fuzzy payoffs, Fuzzy Sets and Systems, 146 (2004), 253-269.
[4] J. J. Buckley, Multiple goal non-cooperative conflicts under uncertainty: a fuzzy set approach,
Fuzzy Sets and Systems, 13 (1984), 107-124.
[5] D. Butnariu, Fuzzy games: A description of the concept, Fuzzy Sets and Systems, 1 (1978),
181-192.
[6] L. Campos, Fuzzy linear programming models to solve fuzzy matrix games, Fuzzy Sets and
Systems, 32 (1989), 275-289.
[7] A. C. Cevikel and M. Ahlatcioglu, Solutions for fuzzy matrix games, Computers & Mathe-
matics with Applications, 60(3) (2010), 399-410.
[8] D. Dubois and H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press,
New York, 1980.
[9] D. Fudenberg and J. Tirole, Game Theory, The MIT Press, 1991.
[10] J. C. Harsanyi and R. Selten, A General Theory of Equilibrium Sekection in Games, The
MIT press, Massachussets, 1988.
[11] D. F. Li, A fuzzy multiobjective approach to solve fuzzy matrix games, The Journal of Fuzzy
Mathematics, 7 (1999), 907-912.
[12] D. F. Li, Fuzzy constrained matrix game with fuzzy payoffs, The Journal of Fuzzy Mathe-
matics, 7 (1999), 873-880.
[13] T. Maeda, On characterization of equilibrium strategy of two person zero sum games with
fuzzy payoffs, Fuzzy Sets and Systems, 139 (2003), 283-296.
[14] I. Nishizaki and M. Sakawa, Equilibrium solutions for multiobjective bimatrix games incor-
porating fuzzy goals, Journal of Optimization Theory and Applications, 86 (1995), 433-458.
[15] I. Nishizaki and M. Sakawa, Equilibrium solutions in multiobjective bimatrix games with
fuzzy payoffs and fuzzy goals, Fuzzy Sets and Systems, 111 (2000), 99-116.
[16] A. A. Omar, M. Al-Smadi, M. Shaher, et al., Numerical solutions of fuzzy differential equa-
tions using reproducing kernel Hilbert space method, Soft Computing, 20 (2016), 3283-3302.
[17] A. A. Omar, M. Al-Smadi, M. Shaher, et al., Application of reproducing kernel algorithm for
solving second-order, two-point fuzzy boundary value problems, Soft Computing, 21 (2017),
7191-7206.
[18] A. A. Omar, Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm-Volterra
integrodifferential equations, Neural Computing & Applications, 28 (2017), 1591{1610.
[19] G. Owen, Game Theory, Academic press, San Diego, Third edition, 1995.
[20] M. Sakawa and I. Nishizaki, Two person zero sum games with multiple goals, Proceedings
of the Tenth International conference on multiple criteria decision making, Taipei, (1992),
37-46.
[21] M. Sakawa and I. Nishizaki, A solution concept in multiobjective matrix game with fuzzy
payoffs and fuzzy goals, Fuzzy logic and its applications to engineering, Information science,
(1995), 417-426.
[22] M. Sakawa and I. Nishizaki, Max-min solutions for fuzzy multiobjective matrix games, Fuzzy
Sets and Systems, 67 (1994), 53-69.
[23] L. S. Shapley, A value for n-person games, in H.W. Kuhn and A.W. Tucker (eds.), Con-
tribution to the theory of games, 2, Annals of math. studies 28, Princeton University Press,
1953.
[24] L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-353.
[25] H. J. Zimmermann, Fuzzy Sets, Decision Making, and Expert Systems, Kluwer academic
publishers, Boston, 1991.