Recent advances in intuitionistic fuzzy information aggregation

被引：142

作者：

Xu, Zeshui ^{[1
,2
]}

Cai, Xiaoqiang ^{[2
]}

机构：

[1] Southeast Univ, Sch Econ & Management, Nanjing 210096, Jiangsu, Peoples R China

[2] Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Shatin, Hong Kong, Peoples R China

来源：

FUZZY OPTIMIZATION AND DECISION MAKING | 2010年 / 9卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Intuitionistic fuzzy set; Aggregation operators; Decision making; Cluster analysis; Medical diagnosis; GROUP DECISION-MAKING; SIMILARITY MEASURES; SETS; DISTANCES; OPERATIONS; OPERATORS; MODELS;

D O I：

10.1007/s10700-010-9090-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aggregation of intuitionistic fuzzy information is a new branch of intuitionistic fuzzy set theory, which has attracted significant interest from researchers in recent years. In this paper, we provide a survey of the aggregation techniques of intuitionistic fuzzy information, and their applications in various fields, such as decision making, cluster analysis, medical diagnosis, forecasting, and manufacturing grid. In addition, we analyze their characteristics and relationships. Finally, we discuss possible directions for future research in this area.

引用

页码：359 / 381

页数：23

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