An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment
Joint Authors
Lei, Yan
Chen, Yong
Tang, Yongchuan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Uncertainty in data fusion applications has received great attention.
Due to the effectiveness and flexibility in handling uncertainty, Dempster–Shafer evidence theory is widely used in numerous fields of data fusion.
However, Dempster–Shafer evidence theory cannot be used directly for conflicting sensor data fusion since counterintuitive results may be attained.
In order to handle this issue, a new method for data fusion based on weighted belief entropy and the negation of basic probability assignment (BPA) is proposed.
First, the negation of BPA is applied to represent the information in a novel view.
Then, by measuring the uncertainty of the evidence, the weighted belief entropy is adopted to indicate the relative importance of evidence.
Finally, the ultimate weight of each body of evidence is applied to adjust the mass function before fusing by the Dempster combination rule.
The validity of the proposed method is demonstrated in accordance with an experiment on artificial data and an application on fault diagnosis.
American Psychological Association (APA)
Chen, Yong& Tang, Yongchuan& Lei, Yan. 2020. An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment. Journal of Mathematics،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1187985
Modern Language Association (MLA)
Chen, Yong…[et al.]. An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment. Journal of Mathematics No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1187985
American Medical Association (AMA)
Chen, Yong& Tang, Yongchuan& Lei, Yan. An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment. Journal of Mathematics. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1187985
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187985