Title :
An information fusion method based on game theory
Author :
Xu, Nan ; Wang, Xianjia
Author_Institution :
Inst. of Syst. Eng., Wuhan Univ., Wuhan, China
Abstract :
Aiming at the conflict circumstances of multi-sensor information system, the paper introduces the idea of game theory into data fusion and introduce a method to filter the conflict data based on mutual entropy to improve the reliability and accuracy of the fusion result. A function model referring to bus structure of JDL (Joint Directors of Laboratories) model is established and fusion algorithm based on game theory is brought out.
Keywords :
entropy; game theory; reliability theory; sensor fusion; JDL; Joint Directors of Laboratories model; bus structure; data fusion; function model; fusion algorithm; game theory; information fusion method; multisensor information system; mutual entropy; reliability; Classification algorithms; Entropy; Games; Nash equilibrium; Reliability; Uncertainty; Pareto domination; game theory; information fusion; mutual entropy;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555605
