A discounting approach to evidence conflict management

Liang-zhou Chen; Wen-kang Shi; Yong Deng

doi:10.1117/12.658221

4 January 2006 A discounting approach to evidence conflict management

Liang-zhou Chen, Wen-kang Shi, Yong Deng

Proceedings Volume 5985, International Conference on Space Information Technology; 598540 (2006) https://doi.org/10.1117/12.658221
Event: International Conference on Space information Technology, 2005, Wuhan, China

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.

Citation Download Citation

Liang-zhou Chen, Wen-kang Shi, and Yong Deng "A discounting approach to evidence conflict management", Proc. SPIE 5985, International Conference on Space Information Technology, 598540 (4 January 2006); https://doi.org/10.1117/12.658221

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