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Mathematical Problems in Engineering
Volume 2018, Article ID 5858272, 10 pages
Research Article

Weighted Evidence Combination Rule Based on Evidence Distance and Uncertainty Measure: An Application in Fault Diagnosis

1School of Software Engineering, Chongqing University, Chongqing 401331, China
2Dean’s Office, Chongqing Aerospace Polytechnic College, Chongqing 400021, China
3Department of Computer Engineering, Chongqing Aerospace Polytechnic College, Chongqing 400021, China

Correspondence should be addressed to Jun Sang; nc.ude.uqc@gnasj

Received 29 May 2017; Revised 3 September 2017; Accepted 15 November 2017; Published 17 January 2018

Academic Editor: Josefa Mula

Copyright © 2018 Lei Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Conflict management in Dempster-Shafer theory (D-S theory) is a hot topic in information fusion. In this paper, a novel weighted evidence combination rule based on evidence distance and uncertainty measure is proposed. The proposed approach consists of two steps. First, the weight is determined based on the evidence distance. Then, the weight value obtained in first step is modified by taking advantage of uncertainty. Our proposed method can efficiently handle high conflicting evidences with better performance of convergence. A numerical example and an application based on sensor fusion in fault diagnosis are given to demonstrate the efficiency of our proposed method.