A netting clustering analysis method under intuitionistic fuzzy environment

被引：86

作者：

Wang, Zhong ^{[1
]}

Xu, Zeshui ^{[1
]}

Liu, Shousheng ^{[1
]}

Tang, Jian ^{[1
]}

机构：

[1] PLA Univ Sci & Technol, Inst Sci, Nanjing 211101, Peoples R China

来源：

APPLIED SOFT COMPUTING | 2011年 / 11卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Intuitionistic fuzzy set; Intuitionistic fuzzy relation; Intuitionistic fuzzy similarity matrix; Netting method; Clustering analysis; SIMILARITY MEASURES; SETS;

D O I：

10.1016/j.asoc.2011.05.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we investigate the technique for clustering objects with intuitionistic fuzzy information. We first propose a formula to derive the intuitionistic fuzzy similarity degree between two intuitionistic fuzzy sets and develop an approach to constructing an intuitionistic fuzzy similarity matrix. Then, we present a netting method to make clustering analysis of intuitionistic fuzzy sets via intuitionistic fuzzy similarity matrix. Two numerical examples are given to illustrate and verify our method. (C) 2011 Published by Elsevier B.V.

引用

页码：5558 / 5564

页数：7

共 21 条

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