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dc.contributor.authorErginel, Nihal
dc.contributor.authorYalçınkaya, Merve
dc.contributor.authorŞentürk, Sevil
dc.contributor.editorKahraman, C
dc.contributor.editorKerre, EE
dc.contributor.editorBozbura, FT
dc.date.accessioned2019-10-21T20:41:33Z
dc.date.available2019-10-21T20:41:33Z
dc.date.issued2012
dc.identifier.isbn978-981-4417-73-0
dc.identifier.urihttps://hdl.handle.net/11421/20819
dc.description10th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS) -- AUG 26-29, 2012 -- Istanbul, TURKEYen_US
dc.descriptionWOS: 000338165600038en_US
dc.description.abstractWind energy is an important energy source among the renewable energies, in nowadays. Turkey has many wind energy locations due to the appropriate weather conditions. The problem of location selection of wind energy depends on several criteria: wind speed, air density, surface roughness coefficient, and altitude. Therefore, the location selection of wind energy is a difficult multi-criteria decision making problem. In this study, this multi-criteria problem is solved by fuzzy data envelopment analysis (FDEA) with triangular fuzzy numbers (TFN).en_US
dc.description.sponsorshipIstanbul Tech Univ, Bahcesehir Univ, Belgian Nucl Res Ctr, Ghent Univen_US
dc.language.isoengen_US
dc.publisherWorld Scientific Publ Co Pte LTDen_US
dc.relation.ispartofseriesWorld Scientific Proceedings Series on Computer Engineering and Information Science
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleFuzzy Dea Approach to Solve the Location Selection of Wind Energyen_US
dc.typeconferenceObjecten_US
dc.relation.journalUncertainty Modeling in Knowledge Engineering and Decision Makingen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.volume7en_US
dc.identifier.startpage207en_US
dc.identifier.endpage212en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorErginel, Nihal


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