A New Method to Determine BPA in Evidence Theory

被引：12

作者：

Jiang, Wen ^{[1
]}

Deng, Yong ^{[2
,3
,4
,5
]}

Peng, Jinye ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China

[2] Hangzhou Normal Univ, Hangzhou Key Lab E Business & Informat Secur, Hangzhou 310036, Zhejiang, Peoples R China

[3] Xiangtan Univ, Key Lab Intelligent Comp & Informat Proc, Minist Educ, Xiangtan 411105, Hunan, Peoples R China

[4] Southwest Univ, Sch Comp & Informat Sci, Chongqing 400715, Peoples R China

[5] Shanghai Jiao Tong Univ, Sch Elect & Informat Technol, Shanghai 200240, Peoples R China

来源：

JOURNAL OF COMPUTERS | 2011年 / 6卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Sensor fusion; Dempster Shafer theory of evidence; basic probability assignment; normal distribution; distance measure;

D O I：

10.4304/jcp.6.6.1162-1167

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Dempster Shafer theory of evidence has been widely used in many data fusion application systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, is still an open issue. In this paper, based on the distance measure between the sample data under test and the model of attribute of species, a new method to obtain BPA is proposed. A numerical example is used to illustrate the efficiency of the proposed method.

引用

页码：1162 / 1167

页数：6