基于证据分类的DS证据合成及判决方法

该文介绍了一种基于证据分类策略的修正DS证据合成方法，以解决证据冲突情况下的合成问题，该方法模仿人处理冲突信息时所采用的策略，即首先将证据分类，保证分在同一类中的证据具有较大的相似性，然后依据分类结果中各类证据的个数决定对该类合成结果的信任度并通过加权方法得到最终的合成证据。

Evidence combination and decision based on DS evidence theory and evidence classification

A modified DS evidence combination method based on evidence classification is introduced. Such a method imitates human's behavior in classification to solve the problem of combing evidences with high degree of conflict. When a sequence of beliefs is available, first, those beliefs are classified into several sets to decide which ones correspond with each other and can be combined with DS rule reasonably, and then all the combination results are integrated with weight rule to form the final result.