An approach for obtaining bargaining set in multi-choice games

Authors:
Tianwen Li;Feng Ma;Weiyi Liu
Affiliations:
School of Information Science and Engineering, Yunnan University, Kunming, China,School of Science, Kunming University of Science and Technology, Kunming, China;School of Information Science and Engineering, Yunnan University, Kunming, China,Information school, Yunnan University of Finance and Economics, Kunming, China;School of Information Science and Engineering, Yunnan University, Kunming, China
Venue:
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Year:
2013

Citing 3
Cited 0

Equivalence theorem, consistency and axiomatizations of a multi-choice value

Journal of Global Optimization
Bargaining strategies designed by evolutionary algorithms

Applied Soft Computing
Fuzzy extensions of bargaining sets and their existence in cooperative fuzzy games

Fuzzy Sets and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the field about the intersection of game theory and decision making, it is a hot concern how to obtain stable payoff vectors. In this paper, we first extend the solution of bargaining set in classical cooperative game to multi-choice games with coalition structure. The extended bargaining set is a generalization of the classical bargaining set. Then we give an approach to find a stable payoff vector belonging to the extended bargaining set, based on genetic algorithm. Finally, we give some experiments to find a stable payoff vector by our proposed algorithm and evaluate the finding algorithm.