针对证据高度冲突的情况下,DS证据理论在实际应用中出现错误融合结果的问题,提出基于不确定度的冲突解决方法.首先分析现有的不确定度量方法的不足,研究基本概率赋值本身所包含的信息,提出一种新的对证据不确定性度量的方法;依据新的不确定度量,结合证据距离生成权重来修正待组合证据体,再利用Dempster规则完成证据组合,可有效解决证据高度冲突情况下的信息融合问题,最后通过算例验证了该方法的有效性. In the case of highly conflicting evidences, DS evidence theory has the problem of incorrect fusion results in practical application, and proposes a conflict resolution method based on uncertainty.Firstly, this paper analyzes the shortcomings of existing methods of uncertainty measurement, and studies the basic probability assignment itself This paper proposes a new method to measure the uncertainty of evidence, modifies the to-be-combined evidence body according to the new uncertainty measure and the weight of evidence, and then completes the evidence combination using Dempster’s rule, which can effectively solve the evidence height The problem of information fusion in the case of conflict, and finally verify the effectiveness of the method through an example.