Hesitant fuzzy information aggregation in decision making

As a generalization of fuzzy set, hesitant fuzzy set is a very useful tool in situations where there are some difficulties in determining the membership of an element to a set caused by a doubt between a few different values. The aim of this paper is to develop a series of aggregation operators for...

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Vydané v:International journal of approximate reasoning Ročník 52; číslo 3; s. 395 - 407
Hlavní autori: Xia, Meimei, Xu, Zeshui
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier Inc 01.03.2011
Elsevier
Predmet:
Agglomeration
Aggregation operator
Applied sciences
Approximation
Computer science; control theory; systems
Data processing. List processing. Character string processing
Decision making
Decision theory. Utility theory
Exact sciences and technology
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Hesitant fuzzy set
Intuitionistic fuzzy set
Memory organisation. Data processing
Operational research and scientific management
Operational research. Management science
Operators
Software
Fuzzy sets
Intuitionistic fuzzy set
Hesitant fuzzy set
Decision making
Aggregation operator
Data analysis
Membership function
Intuitionistic logic
Decision support system
Fuzzy set
Aggregation
Fuzzy logic
Problem solving
Fuzzy decision
ISSN:0888-613X, 1873-4731
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Popis
Shrnutí:As a generalization of fuzzy set, hesitant fuzzy set is a very useful tool in situations where there are some difficulties in determining the membership of an element to a set caused by a doubt between a few different values. The aim of this paper is to develop a series of aggregation operators for hesitant fuzzy information. We first discuss the relationship between intutionistic fuzzy set and hesitant fuzzy set, based on which we develop some operations and aggregation operators for hesitant fuzzy elements. The correlations among the aggregation operators are further discussed. Finally, we give their application in solving decision making problems.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0888-613X
1873-4731
DOI:10.1016/j.ijar.2010.09.002