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Updated: Mar 16, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Conflicting evidence combination based on uncertainty measure and distance of evidence
Wen Jiang1, Miaoyan Zhuang1, Xiyun Qin1
1School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072 Shaanxi China.
Abstract:
Dempster-Shafer evidence theory is widely used in many fields of information fusion. However, the counter-intuitive results may be obtained when combining with highly conflicting evidence. To deal with such a problem, we put forward a new method based on the distance of evidence and the uncertainty measure. First, based on the distance of evidence, the evidence is divided into two parts, the credible evidence and the incredible evidence. Then, a novel belief entropy is applied to measure the information volume of the evidence. Finally, the weight of each evidence is obtained and used to modify the evidence before using the Dempster's combination rule. Numerical examples show that the proposed method can effectively handle conflicting evidence with better convergence.
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