Accelerating the integration of the metaverse into urban transportation using fuzzy trigonometric based decision making

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dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.authoridMartinez, Luis/0000-0003-4245-8813
dc.authoridYASAR, ILGIN/0000-0001-9896-9220
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.authorwosidPamucar, Dragan/AAG-8288-2019
dc.authorwosidMartinez, Luis/A-1746-2009
dc.authorwosidYASAR, ILGIN/N-7044-2016
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorPamucar, Dragan
dc.contributor.authorGokasar, Ilgin
dc.contributor.authorMartinez, Luis
dc.contributor.authorKoppen, Mario
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:50:19Z
dc.date.available2024-05-19T14:50:19Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractMetaverse is defined as a fictional universe that could serve as a simulation environment of reality. Beginning in the past with games, it becomes increasingly integrated into human life as time passes. Metaverse usage is inevitable in every aspect of life. One of its potential application areas could be urban transportation. A novel fuzzy trigonometric based on the combination of the Full Consistency Method (FUCOM) and Combined Compromise Solution (CoCoSo) is proposed to rank three alternatives with twelve criteria under four major aspects: managerial, safety, user, and urban mobility. In the first stage, fuzzy FUCOM methods are used to calculate the weights of the criteria. In the second stage, the fuzzy trigonometric based CoCoSo method is applied to evaluate and rank the alternatives. The proposed model enables the nonlinear processing of complex and uncertain information using fuzzy trigonometric functions. The findings demonstrate focusing on a particular age group can make it easier to integrate the metaverse with urban transportation. The findings of this study have the potential to serve as a guide for decision-makers. The metaverse-based applications could be started by policymakers, which is a promising opportunity with potential boundaries beyond human comprehension making this statement weaker.en_US
dc.identifier.doi10.1016/j.engappai.2023.107242
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85174619285en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.engappai.2023.107242
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5670
dc.identifier.volume127en_US
dc.identifier.wosWOS:001094693500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_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/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectUrban Transportationen_US
dc.subjectMetaverseen_US
dc.subjectFuzzy Fucomen_US
dc.subjectMulti -Criteria Decision Makingen_US
dc.subjectFuzzy Trigonometric Weighted Assessmenten_US
dc.titleAccelerating the integration of the metaverse into urban transportation using fuzzy trigonometric based decision makingen_US
dc.typeArticleen_US

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