2009 International Joint Conference on Computational Sciences and Optimization Fuzzy Linear Programming Model to Solve Two-Person Zero-Sum Matrix Game with Fuzzy Payoffs Sanya, Hainan, China April 24-April 26 ISBN: 978-0-7695-3605-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSO.2009.490
The purpose of this paper is to introduce a two-person zero-sum matrix game in which the payoffs are characterized as fuzzy variables. Based on "a"-optimistic and "a" -pessimistic value of fuzzy variable, two new kinds of minimax equilibrium strategies are provided and two-person zero-sum matrix game which is equivalence to appropriate pair of fuzzy linear programming models is established. A particle swarm optimization algorithm based on fuzzy simulation is designed to seek the minimax equilibrium strategy. Finally, a numerical example is provided to illustrate the effectiveness of the algorithm.
Citation:
Lin Xu, Xiaobin Wang, "Fuzzy Linear Programming Model to Solve Two-Person Zero-Sum Matrix Game with Fuzzy Payoffs," cso, vol. 2, pp.812-815, 2009 International Joint Conference on Computational Sciences and Optimization, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||