Information fusion for intuitionistic fuzzy decision making: An overview

被引:185
|
作者
Xu, Zeshui [1 ]
Zhao, Na [1 ]
机构
[1] SE Univ, Sch Econ & Management, Nanjing 211189, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Intuitionistic fuzzy decision making; Information fusion; Attribute weights; Aggregation; Ranking; CHOQUET INTEGRAL OPERATOR; AGGREGATION OPERATORS; PREFERENCE RELATIONS; SIMILARITY MEASURES; SUPPLIER SELECTION; BONFERRONI MEANS; MODELS; GENERATION; EXTENSION; CONSENSUS;
D O I
10.1016/j.inffus.2015.07.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Intuitionistic fuzzy decision making is to find the suitable method for ranking alternatives based on the provided intuitionistic fuzzy information or some related attributes. To date, many studies have focused on intuitionistic fuzzy decision making problems and various decision making methodologies and approaches have been proposed. To provide a clear perspective on the information fusion for intuitionistic fuzzy decision making, this paper presents an overview on the existing intuitionistic fuzzy decision making theories and methods from the perspective of information fusion, involving the determination of attribute weights, the aggregation of intuitionistic fuzzy information and the ranking of alternatives. Some potential challenges in future research are meanwhile pointed out. In addition, we provide a survey of recent applications of the discussed theories and methods in various fields. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:10 / 23
页数:14
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