Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making
Küçük Resim Yok
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer London
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
As a combination of the hesitant fuzzy set (HFS) and the single-valued neutrosophic set (SVNS), the single-valued neutrosophic hesitant fuzzy set (SVNHFS) is an important concept to handle uncertain and vague information existing in real life, which consists of three membership functions including hesitancy, as the truth-hesitancy membership function, the indeterminacy-hesitancy membership function and the falsity-hesitancy membership function, and encompasses the fuzzy set, intuitionistic fuzzy set (IFS), HFS, dual hesitant fuzzy set (DHFS) and SVNS. Correlation and correlation coefficient have been applied widely in many research domains and practical fields. This paper, motivated by the idea of correlation coefficients derived for HFSs, IFSs, DHFSs and SVNSs, focuses on the correlation and correlation coefficient of SVNHFSs and investigates their some basic properties in detail. By using the weighted correlation coefficient information between each alternative and the optimal alternative, a decision-making method is established to handling the single-valued neutrosophic hesitant fuzzy information. Finally, an effective example is used to demonstrate the validity and applicability of the proposed approach in decision making, and the relationship between the each existing method and the developed method is given as a comparison study. © 2016, The Natural Computing Applications Forum.
Açıklama
Anahtar Kelimeler
Correlation, Correlation coefficient, Hesitant fuzzy set, Multiple attribute decision making, Single-valued neutrosophic hesitant fuzzy set, Single-valued neutrosophic set, Correlation methods, Decision making, Membership functions, Correlation coefficient, Decision-making method, Hesitant fuzzy sets, Intuitionistic fuzzy sets, Multiple attribute decision making, Neutrosophic sets, Optimal alternative, Weighted correlation coefficients, Fuzzy sets, Correlation, Correlation coefficient, Hesitant fuzzy set, Multiple attribute decision making, Single-valued neutrosophic hesitant fuzzy set, Single-valued neutrosophic set, Correlation methods, Decision making, Membership functions, Correlation coefficient, Decision-making method, Hesitant fuzzy sets, Intuitionistic fuzzy sets, Multiple attribute decision making, Neutrosophic sets, Optimal alternative, Weighted correlation coefficients, Fuzzy sets
Kaynak
Neural Computing and Applications
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
28
Sayı
6
