Electric vehicle selection for industrial users using an interval-valued intuitionistic fuzzy COPRAS-based model

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dc.authoridSimic, Vladimir/0000-0001-5709-3744
dc.authoridKundu, Pradip/0000-0001-8297-8894
dc.contributor.authorGorcun, Omer Faruk
dc.contributor.authorSimic, Vladimir
dc.contributor.authorKundu, Pradip
dc.contributor.authorOzbek, Asir
dc.contributor.authorKucukonder, Hande
dc.date.accessioned2025-01-21T16:38:28Z
dc.date.available2025-01-21T16:38:28Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractAccording to reports from international bodies such as the World Health Organization and the United Nations, transportation is one of the leading contributors to environmental pollution and climate change. Electric vehicles present a practical solution to reducing emissions, particularly for industrial users. However, industrial users' selection of electric vehicles involves different dynamics than individual users, making it a more complex process for companies. This paper aims to evaluate the selection criteria for electric vehicle fleets among industrial users using a novel multi-criteria decision-making framework based on interval-valued intuitionistic fuzzy sets. The model assesses various factors influencing industrial users' decisions and ranks the available electric vehicle options accordingly. The results indicate that driving range, purchase price, and charging time are the most influential factors in the decision-making process. Furthermore, the findings confirm that the Tesla Model S P100D is the most suitable option for industrial users, given its superior performance in these critical criteria.
dc.identifier.doi10.1007/s10668-024-05562-w
dc.identifier.issn1387-585X
dc.identifier.issn1573-2975
dc.identifier.scopus2-s2.0-85207348521
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s10668-024-05562-w
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24673
dc.identifier.wosWOS:001341175000004
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironment Development and Sustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectElectric vehicle fleet selection; Interval-valued intuitionistic fuzzy sets; Complex proportional assessment; Sustainability; Green transportation
dc.titleElectric vehicle selection for industrial users using an interval-valued intuitionistic fuzzy COPRAS-based model
dc.typeArticle

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