文章基本信息

标题：Solution of Evidence Distance in Multi-Source Information Fusion
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作者：Wu, Yan ; Li, Gang
期刊名称：Journal of Networks
印刷版ISSN：1796-2056
出版年度：2014
卷号：9
期号：11
页码：3166-3174
DOI：10.4304/jnw.9.11.3166-3174
语种：English
出版社：Academy Publisher
摘要：By relative study on distance measure and conflict evidence synthesis of evidence theory, we find it is very difficult to define strict evidence distance measurement directly. While indirect evidence distance measuring which is based on BPA probability transformation is simple and effective. Current BPA probability transformation methods lack reasonable transformation basis and strong subjective reliability. In order to keep transformation probability of original BPA, we choose non-specificity as uncertain weight to establish non-specificity-based probability transformation method for BPA. Besides, for the contradiction of calculation between the most specific BPA and probability transformation, a combined solution method of “hypothesis-verification” between these two parts is provided. Experimental results show that the conservative degree of proposed probability transformation process is proportional to uncertainty degree of BPA, which proves the improved rationality of project. DS combination method is also used to weighted the synthesis of obtaining fusion results and its effectiveness is proved by simulation cases
关键词：DS Theory;BPA;Evidence Distance;Transformation Probability;Fusion