针对现有方法在识别证据冲突方面存在的不足,结合传统证据冲突,提出一种证据冲突识别与调整的方法.该方法首先将传统证据冲突的加权平均值作为识别指标,其次引入可信度和不确定度,以是否为互异证据间冲突分两种情形确定权重系数.然后,结合传统证据冲突和Jousselme信息距离对识别出的证据冲突加以调整.该方法以传统证据冲突为基础,确保了识别指标的代表性和识别结果的真实性,此外,权重系数综合考虑证据内和证据间的可信度,也更具代表性.最后,选取降低程度和平均偏差分析验证了所提方法.研究结果表明,所提方法的识别精度较高,能够有效地调整证据冲突.

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.