在不确定性处理算法中 ,D -S证据推理方法具有较好的应用结果。阐述了D -S证据推理及其在多传感器信息融合中的应用 ,重点论述了证据理论中尚待解决的问题。针对D -S组合规则无法解决冲突证据这一情况 ,提出了引入修正因子的改进方法来体现证据子集大小。仿真结果表明 ,该方法能够将证据权重聚焦到集合中更小的子集 ,并解决了不一致证据的合成问题 ,使组合结果更加直观。最后讨论了D -S理论的进一步研究方向 In the uncertainty processing algorithm, D-S evidence reasoning method has good application results. This paper expounds the D-S evidence reasoning and its application in the multi-sensor information fusion, and focuses on the problems to be solved in the evidence theory. In view of the fact that the D-S combination rule can not resolve the conflict evidence, an improved method of introducing a correction factor is proposed to reflect the size of the evidence subset. The simulation results show that this method can focus the weight of evidence to a smaller subset in the set, and solve the synthesis of inconsistent evidence, making the combination more intuitive. Finally, the further research direction of D-S theory is discussed