针对传统DS证据理论在处理高冲突证据融合所存在的不足,提出了一种新的冲突证据加权融合方法。该方法充分考虑证据本身的特性和证据间的关系,先引入证据熵来评价证据的质量,对证据进行预处理,再应用证据间的距离计算证据的相似度和证据权重,最后对修正后的证据进行融合。数值算例表明,该方法能够有效地处理高冲突证据融合问题,相比其他改进算法,具有较好的收敛速度和较小的计算量。
Considering Dempster-Shafer(DS) theory cann' t effectively combine the conflict evidences, this paper proposed an evidence weighted fusion method. It fully considered the of characteristics, evidences and the relationship between each other. Firstly, it introduced the evidence entropy to evaluate the quality of the evidences. Then, it computed the similarity of evidences and evidence weight. Finally, it combined all weighted evidences with DS theory. Numerical examples show that the method can effectively deal with high conflict evidence fusion problem. Compared with the other improved methods, the pro- posed method is more efficient and has a less computation.