New dissimilarity measures in evidence theory

Fusion(2011)

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摘要
The dissimilarity of evidence, which represent the degree of dissimilarity between bodies of evidence (BOE's), has attracted more and more research interests and has been used in many applications based on evidence theory. In this paper, some novel dissimilarities of evidence are proposed by using fuzzy sets theory (FST). The basic belief assignments (bba's) are first transformed to the measures in FST and then by using the dissimilarity (or similarity measure) in FST, the dissimilarities between bba's are defined. Some numerical examples are provided to verify the rationality of the proposed dissimilarities of evidence.
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关键词
fuzzy set theory,belief networks,fuzzy sets theory,basic belief assignments,inference mechanisms,dissimilarity measures,bodies of evidence,evidence theory,dissimilarity,uncertainty handling,distance of evidence,uncertainty,measurement,fuzzy sets,fuzzy set
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