标题:Multisensor Data Fusion Based on Modified D-S Evidence Theory
作者:Yingming Zhou;Hongji Xu;Junfeng Sun;Lingling Pan;Baozhen Du;Min Chen;
作者机构:[Yingming Zhou;Hongji Xu;Junfeng Sun;Lingling Pan;Baozhen Du;Min Chen]School of Information Science and Engineering, Shandong University
来源:Proceedings of 2018 International Conference on Computer Modeling, Simulation and Algorithm(CMSA2018)
出版年:2018
关键词:Dempster-Shafer (D-S) evidence theory;multisensor data fusion;information gain;fuzzy preference relations
摘要:Dempster-Shafer(D-S) evidence theory has been widely used in multisensor data fusion to deal with uncertain information. But unreasonable results may be produced by using D-S combination rule in the case of that data are conflicting with each other. This paper proposes a modified evidence combinatio...
资源类型:会议论文
原文链接:http://kns.cnki.net/kns/detail/detail.aspx?FileName=LRCM201804001075&DbName;=IPFD2018
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