A Novel Method for Evidence Conflict Identification and Adjustment

Aimed at the shortcomings of existing methods in identifying evidence conflicts, in combination with traditional evidence conflicts, an evidence conflict identification and adjustment method is proposed. First, the weighted average of traditional evidence conflicts is used as the identification index in this method. Then, the credibility and uncertainty are introduced to determine the weight coefficients in two situations based on whether it is a conflict between different evidences. After that, the identified evidence conflicts are adjusted in combination with the traditional evidence conflicts and Jousselme information distance. This method is based on the traditional evidence conflicts, which ensures the representativeness of the identification index and the authenticity of the identification results. In addition, the weight coefficients comprehensively consider the credibility within and between the evidence, which is also more representative. Finally, the reduction degree and the average deviation are selected to analysis and verify the proposed method. The results show that the proposed method has a high recognition accuracy and can effectively adjust evidence conflicts.