DocumentCode
36252
Title
Dominance-Based Ranking Functions for Interval-Valued Intuitionistic Fuzzy Sets
Author
Liang-Hsuan Chen ; Chien-Cheng Tu
Author_Institution
Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
44
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
1269
Lastpage
1282
Abstract
The ranking of interval-valued intuitionistic fuzzy sets (IvIFSs) is difficult since they include the interval values of membership and nonmembership. This paper proposes ranking functions for IvIFSs based on the dominance concept. The proposed ranking functions consider the degree to which an IvIFS dominates and is not dominated by other IvIFSs. Based on the bivariate framework and the dominance concept, the functions incorporate not only the boundary values of membership and nonmembership, but also the relative relations among IvIFSs in comparisons. The dominance-based ranking functions include bipolar evaluations with a parameter that allows the decision-maker to reflect his actual attitude in allocating the various kinds of dominance. The relationship for two IvIFSs that satisfy the dual couple is defined based on four proposed ranking functions. Importantly, the proposed ranking functions can achieve a full ranking for all IvIFSs. Two examples are used to demonstrate the applicability and distinctiveness of the proposed ranking functions.
Keywords
decision making; fuzzy logic; fuzzy set theory; IvIFS; bipolar evaluation; boundary values; decision making; dominance allocation; dominance concept; dominance-based ranking function; interval valued intuitionistic fuzzy sets; Accuracy; Cybernetics; Decision making; Fuzzy sets; Indexes; Resource management; Uncertainty; Decision making; fuzzy sets; interval-valued intuitionistic fuzzy sets (IvIFSs); ranking function; uncertain systems;
fLanguage
English
Journal_Title
Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
2168-2267
Type
jour
DOI
10.1109/TCYB.2013.2281837
Filename
6617666
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