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Sensor Data Fusion Based on a New Conflict Measure
Joint Authors
Jiang, Wen
Zhan, Jun
Tang, Yongchuan
Wei, Boya
Qin, Xiyun
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Dempster-Shafer (D-S) evidence theory has been widely used in various fields.
However, how to measure the degree of conflict (similarity) between the bodies of evidence is an open issue.
In this paper, in order to solve this problem, firstly we propose a modified cosine similarity to measure the similarity between vectors.
Then a new similarity measure of basic probability assignment (BPAs) is proposed based on the modified cosine similarity.
The new similarity measure can achieve the reasonable measure of the similarity of BPAs and then efficiently measure the degree of conflict among bodies of evidence.
Numerical examples are used to illustrate the effectiveness of the proposed method.
Finally, a weighted average method based on the new BPAs similarity is proposed, and an example is used to show the validity of the proposed method.
American Psychological Association (APA)
Jiang, Wen& Wei, Boya& Qin, Xiyun& Zhan, Jun& Tang, Yongchuan. 2016. Sensor Data Fusion Based on a New Conflict Measure. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112357
Modern Language Association (MLA)
Jiang, Wen…[et al.]. Sensor Data Fusion Based on a New Conflict Measure. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112357
American Medical Association (AMA)
Jiang, Wen& Wei, Boya& Qin, Xiyun& Zhan, Jun& Tang, Yongchuan. Sensor Data Fusion Based on a New Conflict Measure. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112357
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112357