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dc.contributor.authorKutlu Gündoğdu Fatma
dc.contributor.authorKahraman, Cengiz
dc.date.accessioned2020-04-10T09:04:26Z
dc.date.available2020-04-10T09:04:26Z
dc.date.issued2020-03-01
dc.identifier24tr_TR
dc.identifier.issn14327643
dc.identifier.urihttps://hdl.handle.net/11413/6338
dc.description.abstractThe extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets, whose membership functions are based on three dimensions, aim at collecting experts’ judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been introduced by Kutlu Gündoğdu and Kahraman (J Intell Fuzzy Syst 36(1):337–352, 2019a), including their arithmetic operations, aggregation operators, and defuzzification operations. In this paper, our aim is to extend classical analytic hierarchy process (AHP) to spherical fuzzy AHP (SF-AHP) method and to show its applicability and validity through a renewable energy location selection example and a comparative analysis between neutrosophic AHP and SF-AHP.
dc.language.isoen_UStr_TR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectAHP
dc.subjectMulti-criteria decision making
dc.subjectNeutrosophic AHP
dc.subjectSpherical Fuzzy Sets
dc.titleA novel spherical fuzzy analytic hierarchy process and its renewable energy application
dc.typeArticletr_TR
dc.relation.journalSoft Computingtr_TR
local.journal.issue6tr_TR
local.journal.startpage4607tr_TR
local.journal.endpage4621tr_TR


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States