Conflict evidence combination method based on Pearson coefficient and uncertainty measure
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TP391

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    Abstract:

    D-S evidence theory will produce intuitionistic conflict when synthesizing evidence with large conflict. Since most of the existing improvement methods for correcting evidence sources only make improvements from a single perspective, they cannot fully reflect the characteristics of conflict information. In order to solve this problem, a new evidence combination method based on Pearson correlation coefficient and uncertainty is proposed. Firstly, using the Pearson correlation coefficient to measure the correlation between evidences, to define the credibility of the evidence. Secondly, the uncertainty based on interval probability is introduced to modify the credibility to obtain the weight. Finally, using the weight of the weighted average of the original evidence, synthesized using Dempster combination rule. In the case analysis, compared with the classic improved method, the proposed method can effectively deal with the fusion of conflicting evidence, and the accuracy of identifying the correct proposition reaches 0. 992 0. Compared with the existing Pearson coefficient improvement method, the proposed method is more reasonable and has higher accuracy.

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  • Received:
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  • Online: February 27,2023
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