Conflict problems of D-S evidence in multi-sensor information fusion technology

Xuhui Chen, Yong-Xu Yang, Huiyan Cheng · 2010

The D-S reasoning has a big advantage of presentation, resolution and combination for uncertainty information problems, that makes it can be effectively applied in multi-sensor data fusion. However, the Dempster combination rule doesn't take proper measures to address the reliability, conflict and importance aspects of measuring the source-evidence itself, this weakness may result in the existence contrary to intuition in reasoning process. A synthesis rule, especially the conflict problems produced by the data fusion involved in the D-S reasoning synthesis rule based on the basic ones has been analyzed in this paper. Also, a novel synthesis formula of D-S has been proposed according to the idea of supporting probability of evidence conflict that comes from the average supporting degree of each proposition obtained by using weighted distribution method, and the conception of evidence information and the focal element generated by itself, and it is applied in the multi-sensor information fusion technology, As indicated by the simulation results that the method proposed is a feasible ,effective solution.

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