DocumentCode :
1725500
Title :
Study on forecasting equilibrium of matrix game based on grey information of players´ decision rules
Author :
Zha Sheng-zhong ; Wang Wen-ping
Author_Institution :
Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
fYear :
2011
Firstpage :
566
Lastpage :
570
Abstract :
Outsiders and players usually behave different information about game, which may have different purposes about the game. This paper develops a novel approach for the above game that players have more than one decision rules and implement them by probabilities which may be interval numbers. So that outsiders can use this approach to forecast the equilibrium of the game, corresponding probability and the payoff if the probability distributions of alternative decision rules are known. In fact, the given approach can be regarded as an extension of the classic strategic form representation of game as it can be used to analyze the game in which players have single decision rule as well.
Keywords :
forecasting theory; game theory; grey systems; matrix algebra; probability; grey information; matrix game equilibrium forecasting; players decision rules; probability distributions; Biology; Companies; Games; Predictive models; decision rule; equilibrium; grey system; strategic form representation of game;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
Type :
conf
DOI :
10.1109/GSIS.2011.6044022
Filename :
6044022
Link To Document :
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