A novel single-valued spherical fuzzy AHP-WASPAS methodology

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dc.authoridkahraman, cengiz/0000-0001-6168-8185
dc.authorwosidkahraman, cengiz/N-9259-2013
dc.contributor.authorOtay, Irem
dc.contributor.authorKahraman, Cengiz
dc.contributor.authorOztaysi, Bapr
dc.contributor.authorOnar, Sezi Cevik
dc.date.accessioned2024-07-18T20:52:23Z
dc.date.available2024-07-18T20:52:23Z
dc.date.issued2020
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description15th Symposium of Intelligent Systems and Knowledge Engineering (ISKE) held jointly with 14th International FLINS Conference (FLINS) -- AUG 18-21, 2020 -- Cologne, GERMANYen_US
dc.description.abstractIntuitionistic fuzzy sets are the main source of several recent extensions of the ordinary fuzzy sets such as Pythagorean fuzzy sets, picture fuzzy sets, neutrosophic sets and qrung orthopair fuzzy sets. In addition to these, one of the latest extensions of these types of fuzzy sets is Spherical fuzzy sets, which have been often employed in many multiattribute decision making applications in the literature. One of the advantages of Spherical fuzzy set is that it provides a larger domain for the definition of the parameters (membership & non-membership functions and hesitancy) and it allows the parameters to be defined independently. Analytic Hierarchy Process (AHP) is one of the multi-attribute decision making methods based on pairwise comparisons of criteria and alternatives, satisfying the consistency of each pairwise comparison matrix. WASPAS (The Weighted Aggregates Sum Product Assessment) being the integration of weighted product sum and simple additive weighting methods, has been recently introduced to the literature. Under impreciseness and vagueness, linguistic evaluations are generally preferred in a decision matrix. There are many fuzzy extensions of AHP & WASPAS methods such as intuitionistic fuzzy AHP, intuitionistic fuzzy WASPAS, and Pythagorean fuzzy AHP. However, there is no paper integrating AHP and WASPAS methods using Spherical fuzzy sets. Thus, this paper aims to contribute to the literature by developing an integration of Spherical fuzzy AHP &WASPAS methods. The proposed method is applied to solve outsource manufacturer evaluation and selection problem.en_US
dc.description.sponsorshipFern Univ,TH Koln Univ Appl Sci,Univ Technol Sydney,SW Jiaotong Univ,Shunde Polytechn,Minnan Normal Univ,Natl Assoc Non Class Log & Computat Chinaen_US
dc.identifier.endpage198en_US
dc.identifier.isbn978-981-122-333-4
dc.identifier.startpage190en_US
dc.identifier.urihttps://hdl.handle.net/11411/8656
dc.identifier.volume12en_US
dc.identifier.wosWOS:000656123200024en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWorld Scientific Publ Co Pte Ltden_US
dc.relation.ispartofDevelopments of Artificial Intelligence Technologies in Computation and Roboticsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSpherical Fuzzy Ahpen_US
dc.subjectSpherical Fuzzy Waspasen_US
dc.subjectSingle-Valued Spherical Fuzzy Setsen_US
dc.subjectMulti-Criteria Decision Makingen_US
dc.subjectMulticriteria Evaluationen_US
dc.subjectExtensionen_US
dc.titleA novel single-valued spherical fuzzy AHP-WASPAS methodologyen_US
dc.typeConference Objecten_US

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