一种基于证据间距离和信息熵的证据组合方法?

针对改进的基于证据间距离的组合方法，首先计算证据间距离并求出各个证据的支持度和可信度，选取支持度高的作为较可信证据，其次引入证据信息熵，计算修正系数，对这些证据的可信度进行修正，将可信度作为权重，进行证据的加权平均，再利用Dempster组合规则对所有证据进行融合。算例表明，该方法比现有的方法更加有效。

Combination Method of Eidence Based on Distance of Evidence and Information Entropy

In order to combine highly conflict evidence more efficiently, an improved method based on the distance of the bodies of evidence was proposed.Firstly,it computed the distance between the bodies of evidence and obtained the support degree and the credibility of each evidence.Then,information entropy was introduced,the correction factor was computed and the credibility of the evidence which had better support degree was corrected. Finally, the credibility was taken as weights and weighted averaging all the evidence, and the Dempster combination rule was used to realize information fusion.The valid?ity of the approach was demonstrated by simulation example.