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Weighted Evidence Combination Based on Distance of Evidence and Entropy Function.

Authors :
Wang, Jianwei
Xiao, Fuyuan
Deng, Xinyang
Fei, Liguo
Deng, Yong
Source :
International Journal of Distributed Sensor Networks. 2016, Vol. 12 Issue 7, p1-1. 1p.
Publication Year :
2016

Abstract

Conflict management in Dempster-Shafer theory (D-S theory) is a hot topic in information fusion. In this paper, a new weighted evidence combination on the basis of the distance between evidence and entropy function is presented. The proposed approach is identified as two procedures. First, the weight is determined based on the distance of evidence. Then, the obtained weight value in the first step is modified by making advantage of Deng entropy function. Our proposed method can efficiently cope with high conflicting evidences with better performance of convergence. A numerical example is provided to demonstrate that the proposed method is reasonable and efficient in the end. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15501329
Volume :
12
Issue :
7
Database :
Academic Search Index
Journal :
International Journal of Distributed Sensor Networks
Publication Type :
Academic Journal
Accession number :
120356042
Full Text :
https://doi.org/10.1177/155014773218784