Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making

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dc.authorid56285350800
dc.authorid35388763600
dc.contributor.authorŞahin R.
dc.contributor.authorLiu P.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:43:18Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:43:18Z
dc.date.issued2017
dc.departmentBayburt Üniversitesien_US
dc.description.abstractAs 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.en_US
dc.identifier.doi10.1007/s00521-015-2163-x
dc.identifier.endpage1395
dc.identifier.issn0941-0643
dc.identifier.issue6
dc.identifier.scopus2-s2.0-84953432709en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1387
dc.identifier.urihttps://dx.doi.org/10.1007/s00521-015-2163-x
dc.identifier.urihttps://hdl.handle.net/20.500.12403/493
dc.identifier.volume28
dc.identifier.wosWOS:000403939000015en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London
dc.relation.ispartofNeural Computing and Applicationsen_US
dc.relation.publicationcategoryDiğeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCorrelation
dc.subjectCorrelation coefficient
dc.subjectHesitant fuzzy set
dc.subjectMultiple attribute decision making
dc.subjectSingle-valued neutrosophic hesitant fuzzy set
dc.subjectSingle-valued neutrosophic set
dc.subjectCorrelation methods
dc.subjectDecision making
dc.subjectMembership functions
dc.subjectCorrelation coefficient
dc.subjectDecision-making method
dc.subjectHesitant fuzzy sets
dc.subjectIntuitionistic fuzzy sets
dc.subjectMultiple attribute decision making
dc.subjectNeutrosophic sets
dc.subjectOptimal alternative
dc.subjectWeighted correlation coefficients
dc.subjectFuzzy sets
dc.subjectCorrelation
dc.subjectCorrelation coefficient
dc.subjectHesitant fuzzy set
dc.subjectMultiple attribute decision making
dc.subjectSingle-valued neutrosophic hesitant fuzzy set
dc.subjectSingle-valued neutrosophic set
dc.subjectCorrelation methods
dc.subjectDecision making
dc.subjectMembership functions
dc.subjectCorrelation coefficient
dc.subjectDecision-making method
dc.subjectHesitant fuzzy sets
dc.subjectIntuitionistic fuzzy sets
dc.subjectMultiple attribute decision making
dc.subjectNeutrosophic sets
dc.subjectOptimal alternative
dc.subjectWeighted correlation coefficients
dc.subjectFuzzy sets
dc.titleCorrelation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision makingen_US
dc.typeReview Articleen_US

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