Conflict Evidence Fusion Algorithm Based on Cosine Distance and Information Entropy
Ziyang Chen Ziyang Chen,
Yang Zhang Ziyang Chen
Abstract:<p>Dealing with high conflict evidence, traditional evidence theory sometimes has certain limitations, and results in fusion results contrary to common sense. In order to solve the problem of high conflict evidence fusion, this paper analyzes traditional evidence theory and proposes an evidence fusion method that combines cosine distance and information entropy. Cosine distance can measure the directionality between two vectors. The better the directionality, the more similar the two vectors are. Therefo… Show more
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