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