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引用次数: 0

摘要

作为一种处理不确定性的理论,邓普斯特-谢弗理论引起了人们的广泛关注。一个有待解决的问题是,Dempster的组合规则在直接用于处理高冲突信息时会得到反直觉的结果。为了消除冲突的影响,本文定义了一个指数函数来修正数据模型。该方法弥补了经典组合规则的不足。对于多传感器数据融合系统,可以避免高度冲突的情况,对周围环境有更好的判断能力。同时,通过Iris数据集上的数值算例和实验验证了该方法的有效性。
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Conflict Management in Evidence Theory: An Exponential Mode
As an idea for handling uncertainty, Dempster-Shafer theory has attracted much of people's attention. An open issue is that Dempster's combination rules will obtain counter-intuitive results when used directly to handle high conflict information. In this paper, an exponential function is defined to modify the data model for eliminating the effect of conflict. Moreover, this method makes up for the deficiency of the classical combination rule. For a multiple-sensor data fusion system, it can avoid highly conflicting situations and have a better judge of surroundings. At the same time, some numerical instances and experiments on the Iris dataset are given to demonstrate the efficiency of the proposed method.
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