Paper Info
Title
Combine Conflicting Evidence Based on the Belief Entropy and IOWA Operator
Abstract
Evidence theory is widely used in information fusion. However, how to combine highly conflicting evidence is still an open issue. In this paper, a modified average method is proposed to address this issue based on the belief entropy and induced ordered weighted averaging operator. One of the advantages of the proposed method is that both the uncertainty and reliability of evidence are considered. In addition, it provides a right for the decision maker to combine the evidence based on the requirements for the precision of the results. A numerical example is shown to illustrate the use of the proposed method and an application based on sensor fusion in fault diagnosis is given to demonstrate the efficiency of our proposed method.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2937883
IEEE ACCESS
Keywords
DocType
Volume
Dempster-Shafer evidence theory,conflict management,belief entropy,induced ordered weighted averaging operator,weighted ordered weighted averaging operator,preference
Journal
7
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Ran Tao100.34
Fuyuan Xiao220119.11