DocumentCode :
2437338
Title :
A New Method of Feature Selection for Information Fusion Based on the Game Theory
Author :
Fu, Maixia ; Lian, Feiyu ; Li, Qing ; Zhang, Yuan
Author_Institution :
Coll. of Inf. Sci. & Technol., Henan Univ. of Technol., Zhengzhou
Volume :
2
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
185
Lastpage :
189
Abstract :
This paper extracts the player and strategy set from feature space by using the game theory. In doing so, it depicts the failure to define feature information by using mutual information entropy. It also exposes the underlying nature of the decision-making process that is founded on conflict and cooperation through the construction of a payment function. Finally, the paper seeks to provide a balance solution for this strategy by the payoff matrix so that the optimum feature subset can be obtained. This feature subset can improve the performance of the decision-making system; hence, the feature dimension catastrophe caused by the high feature dimension can be subsequently addressed. Consequently, after the above-mentioned methods have been used to conduct feature selection as applied in vehicle selection, it may stated that vehicle feature dimensionality can be compressed. The recognition efficiency can also be improved greatly.
Keywords :
decision making; entropy; game theory; decision making process; decision making system; feature dimension catastrophe; feature information; feature selection; feature space; game theory; information fusion; mutual information entropy; optimum feature subset; payment function; payoff matrix; player and strategy set; recognition efficiency; vehicle feature dimensionality; vehicle selection; Aerospace industry; Computational intelligence; Conferences; Decision making; Error probability; Game theory; Genetic algorithms; NP-hard problem; Space technology; Vehicles; Feature Selection; Game Theory; Information Entropy; Information Fusion; Payoff Function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.135
Filename :
4756761
Link To Document :
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