基于互冲突量和自冲突量分析的证据聚类方法

Evidence Clustering Analysis Based on the Mutual and Independent Conflict Measures

从证据自身的描述形式出发,充分利用证据之间的冲突程度,对证据的聚类问题进行系统的分析。在对证据互冲突量和自冲突量进行详细定义的基础上,建立了证据聚类准则,进而提出了基于互冲突量和自冲突量的证据聚类方法。该方法具有良好的处理效果,且计算复杂度小,便于编程实现,是一种简便实用的快速聚类方法。实例验证了方法的有效性和可行性。

In this paper, the problem of clustering all pieces of evidence is analyzed systematically to separate them into subsets for each event on the basis of considering the describing format of evidence and making full use of the conflict measure of evidence. An approach for evidence clustering based on the mutual and independent conflict measures which are defined in detail is presented using the criterion for clustering. The proposed approach has a good performance on dealing with clustering and it is less complex to program. Thus, it is a simple and practical approach for clustering evidence. Finally, an illustrative example shows that this aproaeh is feasible and effective.