Multisensor Fusion Method Based on the Belief Entropy and DS Evidence Theory
Joint Authors
Guo, Yinjing
Fan, Xiaojing
Ju, Yuanyuan
Bao, Jiankang
Lyu, Wenhong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-16
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The Dempster–Shafer evidence theory has been widely applied in multisensor information fusion.
Nevertheless, illogical results may occur when fusing highly conflicting evidence.
To solve this problem, a new method of the grouping of evidence is proposed in this paper.
This method uses a combination of the belief entropy and the degree of conflict of the evidence as the judgment rule and divides the entire body of evidence into two separate groups.
For the grouped evidence, both the credibility weighted factor based on the belief entropy function and the support weighted factor based on the Jousselme distance function are taken into consideration.
The two determined weighted factors are integrated to adjust the evidence before applying the DS combination rule.
Numerical examples are provided to demonstrate the theoretical feasibility and rationality of the proposed method.
The fusion results indicate that the proposed method is more accurate than the compared algorithms in handling the paradoxes.
A decision-making case analysis of the biological system is performed to validate the practical applicability of the proposed method.
The results confirm that the proposed method has the highest belief degree of the target concentration (50.98%) and has superior accuracy compared to other related methods.
American Psychological Association (APA)
Fan, Xiaojing& Guo, Yinjing& Ju, Yuanyuan& Bao, Jiankang& Lyu, Wenhong. 2020. Multisensor Fusion Method Based on the Belief Entropy and DS Evidence Theory. Journal of Sensors،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1190537
Modern Language Association (MLA)
Fan, Xiaojing…[et al.]. Multisensor Fusion Method Based on the Belief Entropy and DS Evidence Theory. Journal of Sensors No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1190537
American Medical Association (AMA)
Fan, Xiaojing& Guo, Yinjing& Ju, Yuanyuan& Bao, Jiankang& Lyu, Wenhong. Multisensor Fusion Method Based on the Belief Entropy and DS Evidence Theory. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1190537
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190537