Optimizing Wind Energy Technology Selection Under Uncertain and Incomplete Information Using Fuzzy Best Worst Method and Fuzzy Information Axiom

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dc.authoridCEBI, SELCUK/0000-0001-9318-1135
dc.contributor.authorCebi, Selcuk
dc.contributor.authorCem, Ecem
dc.contributor.authorUnal, Gorkem
dc.contributor.authorKarakurt, Necip Fazil
dc.date.accessioned2025-04-06T12:24:02Z
dc.date.available2025-04-06T12:24:02Z
dc.date.issued2024
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.description.abstractTechnology has a pivotal role in wind energy production, encompassing turbine design, control systems, and grid integration solutions. However, selecting the optimal technology investment presents a multifaceted challenge due to rapid industry evolution. Site-specific considerations, economic viability, reliability, durability, and integration with existing infrastructure all weigh heavily in the decision-making process. Environmental and societal impacts are rigorously supposed to be assessed for responsible energy production. A comprehensive approach, including a thorough evaluation of vendor and supplier capabilities, is deemed indispensable. To address these complexities, this study introduces an innovative approach to optimize wind turbine selection within established locations. The proposed methodology integrates the Fuzzy Best Worst Method (FBWM) and the Information Axiom, chosen for their adaptability in handling subjective expert responses. This combination aligns seamlessly with the nuanced nature of wind turbine technology assessment. The study offers a comprehensive review of relevant multi-criteria decision-making techniques, elaborates on the FBWM and Fuzzy Infor mation Axiom (FIA) approach, and presents apractical application. In the study, operational cost, maintenance cost, and power curve emerge as pivotal criteria. Ultimately, the study provides a robust framework for making informed and impactful technology investments in wind energy production.
dc.identifier.endpage207
dc.identifier.issn1542-3980
dc.identifier.issn1542-3999
dc.identifier.issue1-2
dc.identifier.scopus2-s2.0-85211117250
dc.identifier.scopusqualityQ2
dc.identifier.startpage183
dc.identifier.urihttps://hdl.handle.net/20.500.11776/17294
dc.identifier.volume44
dc.identifier.wosWOS:001346942300007
dc.identifier.wosqualityQ1
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_20250406
dc.subjectFuzzy best worst method
dc.subjectaxiomatic design
dc.subjectfuzzy information axiom approach
dc.subjectwind turbine selection
dc.titleOptimizing Wind Energy Technology Selection Under Uncertain and Incomplete Information Using Fuzzy Best Worst Method and Fuzzy Information Axiom
dc.typeArticle

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