An Improved Universal Evidence Combination Method

The Dempster-Shafer evidence combination method will appear inconsistent conclusions for the conflict evidence. One new universal evidence combination method was proposed. According to the concept of the Pearson correlation coefficient. Evidence distances which represent the conflict degree were cal...

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Bibliographic Details
Published in2017 International Conference on Computer Network, Electronic and Automation (ICCNEA) pp. 1 - 4
Main Author Yongchao Wei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
Algorithm design and analysis
Cognition
conflict
Correlation
Correlation coefficient
Evidence combination
evidence pretreatment
Probability distribution
Reliability
Uncertainty
weight
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Summary:The Dempster-Shafer evidence combination method will appear inconsistent conclusions for the conflict evidence. One new universal evidence combination method was proposed. According to the concept of the Pearson correlation coefficient. Evidence distances which represent the conflict degree were calculated, and then the weight coefficient were further converted. The evidences probability were redistributed by using the weight coefficient. Finally, the improved synthesis rule was used to the evidence combination. The examples results show that the algorithm has strong versatility and stability in the evidences combination, can be applied to information fusion, uncertain information decision-making and other fields.
DOI:10.1109/ICCNEA.2017.16