A Novel Decision-Making Framework Based on Interval-Valued Pythagorean Fuzzy AHP and CODAS: An Application to Healthcare Supplier Selection

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dc.authorscopusid56008026000
dc.authorscopusid58624207000
dc.authorscopusid58624054100
dc.authorscopusid58624156900
dc.authorscopusid58623954600
dc.authorscopusid58624054200
dc.contributor.authorOtay, I.
dc.contributor.authorBulut, B.
dc.contributor.authorBarutbaş, K.
dc.contributor.authorArat, A.E.
dc.contributor.authorTekin, E.
dc.contributor.authorGürz, Z.Ş.
dc.date.accessioned2024-07-18T20:16:45Z
dc.date.available2024-07-18T20:16:45Z
dc.date.issued2023
dc.descriptionIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- -- 299549en_US
dc.description.abstractEspecially after the COVID-19 pandemics where market dynamics have changed dramatically, supplier selection has been one of the crucial subjects for almost every industry. After the pandemics, the healthcare industry has played a major role and gained even more importance in all over the world; therefore, selecting the best appropriate supplier has become more critical than ever. In this paper, supplier selection and evaluation problem is analyzed for a specific area of the healthcare industry, i.e. laboratory (lab.) equipments including test tubes and sample containers. Considering the vagueness and imprecise information in the decision-making environment, the problem is handled by considering five main criteria and 20 sub-criteria under fuzzy environment. In the study, a relatively recent extension of the fuzzy sets called as Pythagorean Fuzzy Sets (PFS), which provides more flexibility to the decision makers with membership and non-membership degrees, are utilized. This paper aims to contribute to the literature by proposing a novel fuzzy methodology integrating Analytic Hierarchy Process (AHP) and Combinative Distance-based Assessment (CODAS) method based on interval-valued PFS. Finally, sensitivity analysis is constructed in the paper. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-031-39777-6_15
dc.identifier.endpage132en_US
dc.identifier.isbn9783031397769
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85172738936en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage124en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-39777-6_15
dc.identifier.urihttps://hdl.handle.net/11411/6236
dc.identifier.volume759 LNNSen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHealthcareen_US
dc.subjectInterval- Valued Pythagorean Fuzzy Setsen_US
dc.subjectPythagorean Fuzzy Ahpen_US
dc.subjectPythagorean Fuzzy Codasen_US
dc.subjectSupplier Selectionen_US
dc.subjectDecision Makingen_US
dc.subjectFuzzy Setsen_US
dc.subjectHealth Careen_US
dc.subjectHierarchical Systemsen_US
dc.subjectSensitivity Analysisen_US
dc.subjectDecision-Making Frameworksen_US
dc.subjectDistance-Baseden_US
dc.subjectFuzzy Analytic Hierarchyen_US
dc.subjectHealthcareen_US
dc.subjectHealthcare İndustryen_US
dc.subjectInterval- Valued Pythagorean Fuzzy Seten_US
dc.subjectInterval-Valueden_US
dc.subjectPythagorean Fuzzy Analytic Hierarchy Processen_US
dc.subjectPythagorean Fuzzy Combinative Distance-Based Assessmenten_US
dc.subjectSupplier Selectionen_US
dc.subjectAnalytic Hierarchy Processen_US
dc.titleA Novel Decision-Making Framework Based on Interval-Valued Pythagorean Fuzzy AHP and CODAS: An Application to Healthcare Supplier Selection
dc.typeConference Object

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