DETERMINGING BPA UNDER UNCERTAINTY ENVIRONMENTS AND ITS APPLICATION IN DATA FUSION

被引:15
作者
Deng Yong Jiang Wen* Xu Xiaobin** Li Qi Wang Dong (School of Electronics and Information Technology
机构
基金
浙江省自然科学基金;
关键词
Data fusion; Dempster-Shafer (DS) theory of evidence; Basic Probability Assignment (BPA); Generalized fuzzy number; Similarity measure;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
Dempster-Shafer (DS) theory of evidence has been widely used in many data fusion ap- plication 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, a new method to obtain Basic Probability Assignment (BPA) is proposed based on the similarity measure between generalized fuzzy numbers. In the proposed method, species model can be constructed by determination of the min, average and max value to construct a fuzzy number. Then, a new Radius Of Gravity (ROG) method to determine the similarity measure between generalized fuzzy numbers is used to calculate the BPA functions of each instance. Finally, the efficiency of the proposed method is illustrated by the classi- fication of Iris data.
引用
收藏
页码:13 / 17
页数:5
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