基于证据排序融合的局部冲突信息再分配算法  

Local Conflict Information Redistribution Algorithm Based on Evidence Ranking Fusion

作　　者：周莉[1] 郭伟震 张维华 ZHOU Li;GUO Wei-zhen;ZHANG Wei-hua(School of Information and Electrical Engineering, Ludong University, Shandong Yantai 264025;Assets Department, Ludong University, Shandong Yantai 264025, China)

机构地区：[1]鲁东大学信息与电气工程学院,山东烟台264025 [2]鲁东大学资产处,山东烟台264025

出　　处：《北京邮电大学学报》2018年第2期109-113,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金重大研究计划项目(91538201);国家自然科学基金青年基金项目(61304052)

摘　　要：为提高证据冲突度量和融合结果的准确性,提出一种基于证据排序融合的局部冲突信息再分配算法.该算法首先基于证据距离和冲突系数共同度量证据冲突,在此基础上对证据融合顺序进行优化,并对不同证据中不同焦元的冲突度量算法进行改进.进一步,在对证据进行依序融合过程中,将新的证据以及焦元冲突度量结果应用于对局部冲突信息进行再分配.与已有相关算法进行的理论和应用对比分析结果表明,所提算法的证据融合效果更加稳定、可靠.In order to improve the accuracy of evidence conflict measure and evidence fusion,a local conflict information redistribution algorithm based on evidence ranking fusion is proposed. The evidence conflict is firstly measured based on the evidence distance and the conflict coefficient in the new algorithm,and on this basis,the order of evidence fusion is optimized and the conflict measure algorithm of different focal elements in different pieces of evidence is improved. Further,during the sequential fusion of evidence,the new conflict measure results of the evidence and the focal element are applied to the redistribution of local conflict information. The performances of the new algorithm and the related algorithms are comparatively analyzed in theory and application,and the results show that the evidence fusion effect of the new algorithm is more stable and reliable.

关 键 词：证据组合规则 目标识别 冲突度量 融合 

分 类 号：TN391[电子电信—物理电子学]