Determination of basic probability assignment based on interval numbers and its application

被引：0
作者：
Kang, Bing-Yi [1 ]
Li, Ya [1 ]
Deng, Yong [1 ,2 ]
Zhang, Ya-Juan [1 ]
Deng, Xin-Yang [1 ]
机构：
[1] School of Computer and Information Science, Southwest University
[2] School of Electronics and Information Technology, Shanghai Jiao Tong University
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2012年 / 40卷 / 06期
关键词：
BPA; Data fusion; Evidence theory; Interval number; Recognition; Similarity;
D O I：
10.3969/j.issn.0372-2112.2012.06.004
中图分类号：
学科分类号：
摘要：
One of the open issues of Dempster Shafer theory is how to determine basic probability assignment function (BPA). To solve this problem, a method to determine BPA based on interval numbers is proposed in the paper. At first, the model of interval numbers is constructed with the samples. Then the distance of interval numbers is used to represent difference among the attributes of the samples, so the similarity of them is calculated. At last, the similarity is normalized to get the value of BPA. The effectiveness of this method is proved by classifying the Iris Set. It concludes that the total recognition rate is 96%. This method is simple and practical; it can determine BPA in the case of the little number of the samples.
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收藏
页码：1092 / 1096
页数：4
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