RESEARCH ON CONFLICTING EVIDENCES COMBINATION STRATEGY

摘要：

D-S evidence theory is a useful method for dealing with uncertainty problems. It can combine evidences from different evidence sources. Therefore, it has been successfully applied in data fusion and target recognition. However, the multiplying strategy in D-S evidence theory results in an inherent drawback when dealing with conflicting evidences. In order to efficiently combine highly conflicting evidences, a new D-S evidence combination strategy based on evidence classification and weight coefficients is put forward. In this method, firstly, evidences are classified into several subsets based on the principle that the evidences in each subset are consistent with each other. Secondly, a new method of determining weight coefficients is proposed. At last, all the combination results are integrated with weight rule to form the final result. Experiment results show that this method can process conflicting evidences more effectively compared with other existing methods.

关键词： D-S evidence theory Conflicting evidences Evidence Classification Weight coefficient

作者: XIN GUAN XIAO YI YOU HE

作者单位: Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 26 Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 26

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 110-114

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）