A novel similarity measure for intuitionistic fuzzy sets and its application to pattern recognition

被引：0
|
作者：
Luo, Minxia [1 ]
Wang, Linxia [1 ]
机构：
[1] China Jiliang Univ, Dept Data Sci, Hangzhou 310018, Zhejiang, Peoples R China
来源：
SOFT COMPUTING | 2023年 / 28卷 / 7-8期
基金：
中国国家自然科学基金;
关键词：
Intuitionistic fuzzy set; Similarity measure; Pattern recognition;
D O I：
10.1007/s00500-023-09474-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Although there are many researches on the similarity measure for intuitionistic fuzzy sets, some of them have some defects. To overcome these shortcomings, based on the Euclidean distance between intuitionistic fuzzy set and three special intuitionistic fuzzy sets, a new similarity measure for intuitionistic fuzzy sets is proposed in this paper. The proposed similarity measure is compared with the existing similarity measures in intuitionistic fuzzy environment by numerical examples. Moreover, we apply the proposed similarity measure to pattern recognition problems in intuitionistic fuzzy environment. The experimental results show that the proposed similarity measure for intuitionistic fuzzy sets is reasonable and effective.
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页码：6207 / 6217
页数：11
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