Adoption of energy consumption in urban mobility considering digital carbon footprint: A two-phase interval-valued Fermatean fuzzy dominance methodology

dc.authoridS, Jeevaraj/0000-0002-4374-1939
dc.authoridDelen, Dursun/0000-0001-8857-5148
dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authoridShang, Wen-Long/0000-0002-9162-901X
dc.authoridYASAR, ILGIN/0000-0001-9896-9220
dc.authorwosidS, Jeevaraj/I-7380-2019
dc.authorwosidWEN, XIN/AAF-5225-2019
dc.authorwosidDelen, Dursun/AGA-9892-2022
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.authorwosidSong, Jolie/JXY-0952-2024
dc.authorwosidShang, Wen-Long/AAC-7166-2021
dc.authorwosidYASAR, ILGIN/N-7044-2016
dc.contributor.authorJeevaraj, S.
dc.contributor.authorGokasar, Ilgin
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorDelen, Dursun
dc.contributor.authorZaidan, Bilal Bahaa
dc.contributor.authorWen, Xin
dc.contributor.authorShang, Wen-Long
dc.date.accessioned2024-05-19T14:50:19Z
dc.date.available2024-05-19T14:50:19Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractInterval-valued Fermatean fuzzy sets play a significant role in modelling decision-making problems with incomplete information more accurately than intuitionistic fuzzy sets. Various decision-making methods have been introduced for the different classes IFSs. In this study, we aim to introduce a novel two-phase interval-valued Fermatean fuzzy dominance method which suits the decision-making problems modelled under the IVFFS environment well and study its applications in the adoption of energy consumption in Urban mobility considering digital carbon footprint. The proposed method considers the importance and performance of one alternative with respect to all others, which is not the case with many available decision making algorithms introduced in the literature. Transportation is one of the most significant sources of global greenhouse gas (GHG) emissions. Numerous potential remedies are proposed to reduce the quantity of GHG generated by transportation activities, including regulatory measures and public transit digitalization initiatives. Decision-makers, however, should consider the digital carbon footprint of such projects. This study proposes three alternatives for reducing GHG emissions from transportation activities: incremental adoption of digital technologies to reduce energy consumption and greenhouse gases, disruptive digitalization technologies in urban mobility, and redesign of urban mobility using regulatory approaches and economic instruments. The proposed novel two-phase interval-valued Fermatean fuzzy dominance method will be utilized to rank these alternative projects in order of advantage. First, the problem is converted into a multi-criterion group decision making problem. Then a novel two-phase interval-valued Fermatean fuzzy dominance method is designed and developed to rank the alternatives. The importance and advantage of the proposed two-phase method over other existing methods are discussed by using sensitivity and comparative analysis. The results indicate that rethinking urban mobility through governmental policies and economic tools is the least advantageous choice, while incremental adoption of digital technologies is the most advantageous.en_US
dc.identifier.doi10.1016/j.engappai.2023.106836
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85166251029en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.engappai.2023.106836
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5668
dc.identifier.volume126en_US
dc.identifier.wosWOS:001052540800001en_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 Mobilityen_US
dc.subjectGhgsen_US
dc.subjectDecision Support Systemsen_US
dc.subjectInterval-Valued Fermatean Fuzzy Setsen_US
dc.subjectDominance Methoden_US
dc.subjectMulti-Criteria Decision-Makingen_US
dc.titleAdoption of energy consumption in urban mobility considering digital carbon footprint: A two-phase interval-valued Fermatean fuzzy dominance methodologyen_US
dc.typeArticleen_US

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