Intuitive fuzzy multi-expert & multi-criteria decision making methodology: An application in healthcare industry

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dc.contributor.authorOtay, İrem
dc.date.accessioned2022-11-10T11:26:56Z
dc.date.available2022-11-10T11:26:56Z
dc.date.issued2022
dc.description.abstractAbstract: Fuzzy set extensions have been one of the uncertainty handling tools used in many studies in recent years. Since the 1990s, fuzzy decision making theory has been one of the most studied topics in the literature. Specifically in recent years, many fuzzy decision making models have been proposed by using new fuzzy set extensions. Multi-criteria decision making models have been a research area where these extensions are frequently used. In this study, an integrated AHP-TOPSIS methodology employing triangular intuitionistic fuzzy numbers has been transformed into a methodology in which interval-valued triangular fuzzy numbers can be used. As an application, a surgery robot evaluation and selection problem for a newly founded private hospital to be a part of a hospital chain in Istanbul, has been analyzed. The obtained results showed that different fuzzy set extension based datasets can be successfully used in the same methodology by converting them to each other. In this study, comparison and sensitivity analyses are also performed and it has been observed that the results of the proposed model are quite robust and consistent. © 2022 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.en_US
dc.fullTextLevelFull Texten_US
dc.identifier.doi10.17341/gazimmfd.833468
dc.identifier.issn1300-1884
dc.identifier.scopus2-s2.0-85128731769en_US
dc.identifier.trdizinid509284en_US
dc.identifier.urihttps://hdl.handle.net/11411/4661
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.833468
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/509284en_US
dc.identifier.wosWOS:000827262200034en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.issue2en_US
dc.language.isoenen_US
dc.nationalInternationalen_US
dc.numberofauthors1en_US
dc.pages1047 - 1062en_US
dc.publisherGazi Universitesien_US
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240718_Mükerrer
dc.subjectAHPen_US
dc.subjectfuzzy multi-criteria decision makingen_US
dc.subjectinterval-valued fuzzy numbersen_US
dc.subjectIntuitionisticen_US
dc.subjectfuzzy numbersen_US
dc.subjectTOPSISen_US
dc.titleIntuitive fuzzy multi-expert & multi-criteria decision making methodology: An application in healthcare industry
dc.typeArticle
dc.volume37en_US

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