Neutrosophic Fuzzy MARCOS Approach for Sustainable Hybrid Electric Vehicle Assessment

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dc.contributor.authorCakir, Esra
dc.contributor.authorTas, Mehmet Ali
dc.contributor.authorUlukan, Ziya
dc.date.accessioned2025-02-20T08:42:15Z
dc.date.available2025-02-20T08:42:15Z
dc.date.issued2021
dc.departmentTürk-Alman Üniversitesien_US
dc.descriptionIEEE International Conference on Systems, Man, and Cybernetics (SMC) -- OCT 17-20, 2021 -- ELECTR NETWORKen_US
dc.description.abstractIn smart city planning, activities that minimize the damage to the environment are important for a sustainable environment. Therefore, municipalities have tended to change their vehicle preferences for sustainable environmental goals. In recent years, the use of hybrid electric vehicles has been on the agenda in terms of reducing environmental pollution. Municipalities need some criteria and expert opinion to choose among the alternatives. The contribution of this paper is to propose a new single valued neutrosophic fuzzy integrated MARCOS method for fuzzy multi-criteria decision making problems. The uncertain decisions of experts are included to MARCOS method to express the uncertainties in human opinions, therefore, the single valued neutrosophic fuzzy numbers are preferred in terms of truth, indeterminacy and falsity membership. The method is used to rank the alternatives keeping determined criteria by DMs in consideration. It finds ideal and anti-ideal solutions by decision matrix, and it uses these values to generate the utility degrees of the alternatives. The proposed methodology is applied on sustainable hybrid electric vehicle selection problem for a municipality in Turkey. The results are comparatively represented.
dc.description.sponsorshipIEEE
dc.description.sponsorshipScientific Research Projects Commission of Galatasaray University [FBA-20201036]
dc.description.sponsorshipThis work has been supported by the Scientific Research Projects Commission of Galatasaray University under grant number #FBA-20201036.
dc.identifier.doi10.1109/SMC52423.2021.9659199
dc.identifier.endpage3428en_US
dc.identifier.isbn978-1-6654-4207-7
dc.identifier.issn1062-922X
dc.identifier.scopus2-s2.0-85124316683
dc.identifier.startpage3423en_US
dc.identifier.urihttps://doi.org/10.1109/SMC52423.2021.9659199
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1602
dc.identifier.wosWOS:000800532003066
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2021 Ieee International Conference On Systems, Man, and Cybernetics (Smc)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250220
dc.subjectMcdm Approachen_US
dc.subjectFuel-Economyen_US
dc.subjectTopsisen_US
dc.subjectPerformanceen_US
dc.subjectTransporten_US
dc.titleNeutrosophic Fuzzy MARCOS Approach for Sustainable Hybrid Electric Vehicle Assessment
dc.typeConference Object

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