Relationship between Similarity Measure and Entropy of Interval Type-2 Fuzzy Sets

被引：0
|
作者：
Zhang, Xiang [1 ]
Zheng, Gao [2 ]
机构：
[1] Sichuan Coll Architectural Technol, Dept Econ Management, Deyang, Peoples R China
[2] China Maritime Police Acad, Dept Electromech Management, Ningbo, Zhejiang, Peoples R China
来源：
2013 10TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) | 2013年
关键词：
fuzzy logic; interval type-2 fuzzy set; similarity measure; entropy;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The similarity measure and entropy of fuzzy sets are two important fuzzy measures in fuzzy logic theory and it is significant to research their relationship. In this paper, we mainly discuss the relationship between the similarity measure and entropy of interval type-2 fuzzy sets (IT2 FSs) proposed by Zheng et al., and give two Theorems and a Corollary that can reflect the mutual conversion relationship between two indexes. These conclusions have extensive practicability in many fields.
引用
收藏
页码：98 / 102
页数：5
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