A Dynamic Fuzzy Sets method and Its Application to Pattern Recognition

被引：0
|
作者：
Zhang, Zhenhua [1 ]
Hu, Yong [2 ]
Ke, Xiaohua [1 ]
机构：
[1] Guangdong Univ Foreign Studies, Cisco Sch Informat, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangdong Univ Foreign Studies, Sch Management, Guangzhou 510006, Guangdong, Peoples R China
来源：
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷
基金：
中国国家自然科学基金;
关键词：
interval-valued intuitionistic fuzzy sets; dynamic fuzzy sets; pattern recognition; GROUP DECISION-MAKING;
D O I：
10.4028/www.scientific.net/AMM.263-266.2602
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present a novel dynamic fuzzy sets (DFS) method, which is the generalization of fuzzy sets (FS) and the dynamization of interval-valued intuitionistic fuzzy sets (IVIFS). First, by analyzing the degree of hesitancy, we propose a DFS model from IVIFS. Second, we introduce the distance measure of DFS. Finally, a pattern recognition example is given to demonstrate the application of DFS, and the experimental results show that the DFS method is more effective than some IVIF'S methods.
引用
收藏
页码：2602 / +
页数：2
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