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

机译:多传感器信息融合技术中D-S证据的冲突问题

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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.
机译:D-S推理在不确定性信息问题的表示,分辨率和组合方面具有很大的优势,使其可以有效地应用于多传感器数据融合中。但是,Dempster组合规则没有采取适当的措施来解决测量源证据本身的可靠性,冲突和重要性方面,这种弱点可能导致推理过程中存在与直觉相反的情况。本文分析了一种综合规则,特别是基于基本规则的D-S推理综合规则中涉及的数据融合所产生的冲突问题。此外,根据证据冲突的支持概率的思想,提出了一种新的DS合成公式。该证据冲突的概率来自使用加权分布方法获得的每个命题的平均支持程度,以及证据信息的概念和由该命题生成的焦点元素。仿真结果表明,该方法是一种可行,有效的解决方案。

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