Evidence Fusion Method Based on Evidence Trust and Exponential Weighting

被引:0
作者
Yan, Qifei [1 ]
Zhou, Yan [1 ]
Zou, Li [1 ]
Li, Yanling [2 ]
机构
[1] Natl Univ Def Technol, Coll Informat & Commun, Wuhan, Peoples R China
[2] Xian Hong Qing High Tech Res Inst, Xian, Peoples R China
来源
PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020) | 2020年
关键词
evidence theory; evidence trust degree; exponential weighting; fusion factor;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the problems of unreasonable fusion results of high conflict evidence and ineffectiveness of coefficient weighting in classical evidence theory, a method of evidence fusion based on evidence trust degree and exponential weighting is proposed. Firstly, the fusion factor is constructed based on probability distribution function and evidence trust degree, then the fusion factor is exponentially weighted by evidence weight, and then the evidence fusion rule based on fusion factor is constructed. The results show that this method can effectively solve the problems of unreasonable fusion results of high conflict evidence and ineffectiveness of coefficient weighting. It shows that the new fusion method are more reasonable, which provides a new idea and method for solving the problems in evidence theory.
引用
收藏
页码:1851 / 1855
页数:5
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