Energy Management System Strategy Evaluation for E-Vehicles Using Proportional Pythagorean Fuzzy AHP

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dc.authorid0000-0001-6309-0099
dc.contributor.authorOtay, Irem
dc.contributor.authorSari, Irem Ucal
dc.contributor.authorTolga, A. Cagri
dc.contributor.authorCebi, Selcuk
dc.contributor.authorOnar, Sezi Cevik
dc.contributor.authorOztaysi, Basar
dc.date.accessioned2026-04-04T18:56:13Z
dc.date.available2026-04-04T18:56:13Z
dc.date.issued2026
dc.departmentİstanbul Bilgi Üniversitesi
dc.description.abstractThe shift from conventional vehicles to electric vehicles (EVs) is essential for sustainability. Energy management strategies play a crucial role in this transition, as they affect battery performance, extend lifespan, and ensure cost-effectiveness. This study evaluates energy management system (EMS) strategies for EVs using the Proportional Pythagorean Fuzzy Analytical Hierarchy Process (PPF-AHP) to prioritize decision criteria. To achieve this, a decision model is constructed involving four main criteria-sustainability and resilience, cost efficiency, performance and reliability, and competitiveness-as well as sixteen sub-criteria. Then, pairwise evaluations from five experts are collected and aggregated leading to the prioritization of decision criteria. In order to show the robustness of the methodology, the PPF-AHP results are compared with Buckley's Fuzzy AHP and Decomposed Fuzzy AHP.
dc.identifier.endpage245
dc.identifier.issn1542-3980
dc.identifier.issn1542-3999
dc.identifier.issue1
dc.identifier.scopus2-s2.0-105026261680
dc.identifier.scopusqualityQ2
dc.identifier.startpage217
dc.identifier.urihttps://hdl.handle.net/11411/10746
dc.identifier.volume46
dc.identifier.wosWOS:001656069100005
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherOld City Publishing Inc
dc.relation.ispartofJournal of Multiple-Valued Logic and Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectElectrical Vehicles (Evs)
dc.subjectEnergy Management Strategies
dc.subjectBattery Performance Proportional Pythagorean Fuzzy Ahp
dc.titleEnergy Management System Strategy Evaluation for E-Vehicles Using Proportional Pythagorean Fuzzy AHP
dc.typeArticle

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