Aiming at the problem that the traditional DempsterShafer（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 ne... 

【文章來(lái)源】：Journal of Systems Engineering and Electronics. 2017,28(03)

【文章頁(yè)數(shù)】：11 頁(yè)

【文章目錄】：
1. Introduction
2. Background material
3. Evidence conflict measure algorithms
    3.1 Some evidence conflict measure algorithms
        3.1.1 Conflict coefficient
        3.1.2 Evidence distance
        3.1.3 Pignistic probability distance
        3.1.4 Cosine similarity
        3.1.5 Relative coefficient
        3.1.6 Analysis of others algorithms
    3.2 New evidence conflict measure algorithm
    3.3 Comparison and analysis of some algorithms
4. Evidence combination method based on evidence similarity
    4.1 General framework of evidence combination
    4.2 Combination method based on the evidence similarity
5. Comparison and analysis of numerical examples
    5.1 Numerical example 1
    5.2 Numerical example 2
    5.3 Numerical example 3
6. Conclusions



本文編號(hào)：2990557