为解决传统基于DS 理论的融合算法在处理高冲突证据时，存在将所有证据都视为高冲突证据统一进行 修正的问题，提出一种处理证据高冲突性的改进算法。判断证据的冲突程度，只对冲突性较大的证据进行修正，在 保证原始证据真实性的基础上对高冲突证据源进行修正，用DS 合成法则进行融合，并通过实验验证。实验结果表 明：该算法具有良好的收敛性和可行性，与其他算法相比，可在一定程度上提高合成过程中证据的可靠性。
In order to solve the problem that the traditional fusion algorithm based on DS theory treats all the evidences as high conflict evidences in the process of handling them, this paper proposes an improved algorithm to deal with the high conflict of evidences. We judge the conflicting degrees of evidences firstly, then correcting the high conflict of evidences to reduce them based on the authenticity of original evidences and using DS synthesis rule to fuse the evidences, and then verifying the rationality through the experiment. The results of experiment show that the algorithm we proposed has good convergence and feasibility. Compared with other algorithms, the proposed algorithm can improve the reliability of evidence to some extent in the synthesis process.