A Method of Information Fusion based on Game Theory and Bayesian Network

被引：0

作者：

Guo, Changgeng ^{[1
]}

Zhang, Juncai ^{[1
]}

Zhong, Luo ^{[2
]}

机构：

[1] Wuhan Univ Technol, Coll Comp Sci & Technol, Wuhan, Peoples R China

[2] Xuchang Vocat Tech Coll, Dept Comp Engn, Xuchang, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 3 | 2011年

关键词：

game theory; bayesian network; information fusion; game information fusion model;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Aimming at the information fusion under the conflict of multi-source information, this paper proposed a new general function model of information fusion called multi-source information game fusion model based on the combining of game theory and information fusion. A game information fusion algorithm is proposed using Bayesian network. For single connect Bayesian network, we use multi-tree transform algorithm, and for multi-connect Bayesian network, we use parallel game information fusion algorithm proposed in this paper. And from theory, a whole work process is given for the model. Emulational and experimental results show the proposed game information fusion algorithm can improve effectively the decision reliability for multi-source information fusion system.

引用

页码：41 / 47

页数：7