A new rule to combine dependent bodies of evidence

被引：0

作者：

Xiaoyan Su

Lusu Li

Hong Qian

Sankaran Mahadevan

Yong Deng

机构：

[1] Shanghai University of Electric Power,School of Automation Engineering

[2] Vanderbilt University,School of Engineering

[3] Vanderbilt University,Department of Biostatistics, School of Medicine

来源：

Soft Computing | 2019年 / 23卷

关键词：

Information fusion; Dempster–Shafer evidence theory; Dependent evidence; Generalized Dempster’s rule;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Dempster’s rule of combination can only be applied to independent bodies of evidence. This paper proposes a new rule to combine dependent bodies of evidence. The rule is based on the concept of joint belief distribution, and can be seen as a generalization of Dempster’s rule. When the bodies of evidence are independent, the new combination rule will be reduced into Dempster’s rule. Two examples are illustrated to show the use and effectiveness of the proposed method.

引用

页码：9793 / 9799

页数：6

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