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Weighted Evidence Combination Rule Based on Evidence Distance and Uncertainty Measure: An Application in Fault Diagnosis
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Lei& Diao, Ling& Sang, Jun. 2018. Weighted Evidence Combination Rule Based on Evidence Distance and Uncertainty Measure: An Application in Fault Diagnosis. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208114
Modern Language Association (MLA)
Chen, Lei…[et al.]. Weighted Evidence Combination Rule Based on Evidence Distance and Uncertainty Measure: An Application in Fault Diagnosis. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1208114
American Medical Association (AMA)
Chen, Lei& Diao, Ling& Sang, Jun. Weighted Evidence Combination Rule Based on Evidence Distance and Uncertainty Measure: An Application in Fault Diagnosis. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208114
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208114