A novel decomposed Z-fuzzy TOPSIS method with functional and dysfunctional judgments: An application to transfer center location selection

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dc.authoridTUYSUZ, NURDAN/0000-0002-0913-8351
dc.contributor.authorTuysuz, Nurdan
dc.contributor.authorKahraman, Cengiz
dc.date.accessioned2024-09-11T19:50:54Z
dc.date.available2024-09-11T19:50:54Z
dc.date.issued2024
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractDecomposed fuzzy sets (DFSs) are one of the latest extensions of intuitionistic fuzzy sets which are introduced to express vague and imprecise information to be used in multi-criteria decision-making. DFSs represent the human thinking structure in a multidirectional way, and they enable it through functional and dysfunctional judgments. However, DFSs cannot completely represent the entire human mindset as they are incapable of capturing reliability information, as it is in the other extensions, and this inability may cause wrong decisions to be given. To handle this problem, decomposed Z-fuzzy numbers, which are the integrated DFSs with reliability information provided by Z-fuzzy numbers, are introduced to model functional and dysfunctional judgments for taking the consistency of decision makers into account. Collecting judgments with both their fuzzy restrictions and fuzzy reliabilities from decision makers based on functional and dysfunctional questions provide more consistent and reliable judgments in the practice. Subsequently, a new decomposed Z-fuzzy linguistic scale and defuzzification formula are introduced to reach a final solution. Then, decomposed Z-fuzzy TOPSIS method is developed. Finally, we analyze the effect of the reliability parameter on the given decisions and present a comparative analysis with crisp TOPSIS method by an application of transfer center location selection for a private cargo company in Marmara Region of Turkey.en_US
dc.identifier.doi10.1016/j.engappai.2023.107221
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85174051505en_US
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2023.107221
dc.identifier.urihttps://hdl.handle.net/11363/7700
dc.identifier.volume127en_US
dc.identifier.wosWOS:001094745200001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectDecomposed fuzzy setsen_US
dc.subjectFuzzy MCDMen_US
dc.subjectReliabilityen_US
dc.subjectTOPSISen_US
dc.subjectZ -Fuzzy numbersen_US
dc.titleA novel decomposed Z-fuzzy TOPSIS method with functional and dysfunctional judgments: An application to transfer center location selectionen_US
dc.typeArticleen_US

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