The Method of Pattern Recognition based on Weighted Intuitionistic Fuzzy Relative Entropy

被引：2
|
作者：
Rui, Wang [1 ]
Dong, An [2 ]
机构：
[1] Air Force Engn Univ, Sch Air & Missile Def, Xian 710051, Shanxi, Peoples R China
[2] Xian Int Univ, Inst Engn, Xian 710077, Peoples R China
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL MANUFACTURING AND AUTOMATION (ICDMA) | 2013年
关键词：
Intuitionistic Fuzzy Set; Intuitionistic Fuzzy Relative Entropy; pattern recognition;
D O I：
10.1109/ICDMA.2013.355
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
On the difficulty for the current pattern recognition to deal with fuzzy uncertain information, in this paper, the author tries to give a definition of intuitionistic fuzzy relative entropy, and meanwhile introduces the weighted thought into fuzzy pattern recognition, putting forward the method of Pattern Recognition based on Weighted Intuitionistic Fuzzy Relative Entropy. The new method accurately describes and shows the uncertainty of historical information, effectively realizes the quantitative analysis of pattern recognition, and improves the reliability, accuracy, and the robust performance of the system. Finally, through the examples, the effectiveness and superiority are proved.
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页码：1487 / 1489
页数：3
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