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Proceedings Paper

A discounting approach to evidence conflict management
Author(s): Liang-zhou Chen; Wen-kang Shi; Yong Deng
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Paper Abstract

By combining several belief functions from distinct information sources, data fusion aims at obtaining a single Basic Probability Assignment (BPA) function. The classical Dempster's combining rule is the most popular rule of combinations, but it is a poor solution for the management of the evidence conflict at the normalization step. When deal with high conflict information it can even involve counter-intuitive results. A discount method to combine conflicting evidence based on evidence distance is presented; and the discount coefficient of the evidence in the system is also given. Numerical examples showed that the proposed method can provide reasonable results with good convergence efficiency.

Paper Details

Date Published: 4 January 2006
PDF: 6 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 598540 (4 January 2006); doi: 10.1117/12.658221
Show Author Affiliations
Liang-zhou Chen, Shanghai Jiao Tong Univ. (China)
Wen-kang Shi, Shanghai Jiao Tong Univ. (China)
Yong Deng, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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