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Combination method of conflict evidences based on evidence similarity

机译:基于证据相似度的冲突证据组合方法

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摘要

Aiming at the problem that the traditional Dempster-Shafer (D-S) evidence theory cannot deal with conflicted evidences effectively and correctly, this paper points out that the key issue of this problem is to measure the degree of conflict between evidences correctly after analyzing various improved methods. The existing evidence conflict measure methods are analyzed, and a new evidence conflict measure method called evidence similarity measure based on the Tanimoto measure is proposed, while a new evidence combination method is proposed on the basis of evidence similarity measure. Firstly, the conflict degrees between evidences are obtained through the evidence similarity measure. Then the evidence sources are modified based on the credibility of different evidences and the weights of conflicted parts of evidences on different focal elements are determined. Finally, the fusion result is obtained by this method. Numerical examples show that the proposed method can effectively fuse evidences when evidences are consistent or highly conflicted, and it has a fast convergence speed, a high degree of accuracy and good adaptability.
机译:针对传统的DS证据理论不能有效,正确地处理矛盾证据的问题,指出该问题的关键在于分析各种改进方法后,正确衡量证据之间的冲突程度。 。分析了现有的证据冲突度量方法,提出了一种基于谷本测度的新证据冲突度量方法,称为证据相似度量,而在证据相似度量的基础上提出了一种新的证据组合方法。首先,通过证据相似度度量获得证据之间的冲突程度。然后根据不同证据的可信度修改证据来源,并确定不同焦点要素上证据冲突部分的权重。最后,通过这种方法获得融合结果。数值算例表明,所提出的方法能够在证据一致或高度冲突时有效融合证据,收敛速度快,准确性高,适应性强。

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