A Belief Coulomb Force in D-S Evidence Theory

Article


Fu, Bo, Fang, Jinwei, Zhao, Xilin, Chen, Xing, Xu, Kang and He, Zhangqing. 2021. "A Belief Coulomb Force in D-S Evidence Theory." IEEE Access. 9, pp. 82979-82988. https://doi.org/10.1109/ACCESS.2021.3086232
Article Title

A Belief Coulomb Force in D-S Evidence Theory

ERA Journal ID210567
Article CategoryArticle
AuthorsFu, Bo, Fang, Jinwei, Zhao, Xilin, Chen, Xing, Xu, Kang and He, Zhangqing
Journal TitleIEEE Access
Journal Citation9, pp. 82979-82988
Article Number9446848
Number of Pages10
Year2021
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN2169-3536
Digital Object Identifier (DOI)https://doi.org/10.1109/ACCESS.2021.3086232
Web Address (URL)https://ieeexplore.ieee.org/document/9446848
AbstractDempster-Shafer (D-S) evidence theory is regarded as an effective method of dealing with the uncertainty of the information but still suffers from the conflict problem among the evidence. Despite that various techniques were presented in plenty of publications, currently, there is no convincing evidence and firm conclusion about the optimum solution. This study presents Belief Coulomb Force (BCF) into D-S evidence theory, where Zhou et al. entropy is applied to represent the electrical charge of the belief function, and the Coulomb gravity or repulsion would be identified with the Pearson correlation coefficient. According to the simulation results, the recognition accuracy on malfunction diagnosis of the presented approach reaches 93.7%, and the effectiveness of analyzing the conflict evidence problem can be demonstrated from the comparison with the previous methods.
KeywordsBelief Coulomb force; Pearson correlation coefficient; D-S evidence theory; fault diagnosis; information fusion
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460999. Information systems not elsewhere classified
400899. Electrical engineering not elsewhere classified
Byline AffiliationsHubei University of Technology, China
School of Engineering
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