Evidence Clustering Analysis Based on the Mutual and Independent Conflict Measures
Qing Ye · Fire Control and Command Control · 2011
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 approach is feasible and effective.