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MULTI-CRITERIA SOLAR ENERGY PLANT LOCATION SELECTION USING FUZZY ANP

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dc.contributor.authorDemirel, Tufan
dc.contributor.authorVural, Zeynep
dc.contributor.institutionauthorDEMİREL, Tufan
dc.date.accessioned2026-06-27T12:52:04Z
dc.date.issued2010
dc.description.abstractThe aim of the present study is to select the most suitable location for solar energy plant through fuzzy ANP. The problem of selecting location for solar energy plant was considered as a multi-criteria decision making problem. Among the main criteria taken into account in this paper, some are climate, geographical factors, transportation, environmental factors, and costs. This paper also includes some sub-criteria because of the hierarchical structure of the problem, diffuse radiation, average temperature, seismic belt, status of substructure, distance from transformer centers, land use, and installation cost. Then, the problem was solved by using fuzzy ANP method and the best location for the solar energy plant was determined.en
dc.identifier.endpage470
dc.identifier.isbn978-981-4324-69-4
dc.identifier.startpage465
dc.identifier.urihttps://hdl.handle.net/20.500.14981/47633
dc.identifier.volume4
dc.identifier.wos000290926800069
dc.language.isoeng
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTD
dc.relation.conference9th International FLINS Conference on Computational Intelligence: Foundations and Applications
dc.relation.ispartofCOMPUTATIONAL INTELLIGENCE: FOUNDATIONS AND APPLICATIONS: PROCEEDINGS OF THE 9TH INTERNATIONAL FLINS CONFERENCE
dc.subjectMulti-criteria decision making
dc.subjectfuzzy
dc.subjectanalytic network process
dc.subjectsolar energy
dc.subjectplant location
dc.subjectTURKEY
dc.subjectAID
dc.subjectAHP
dc.subjectComputer Science
dc.titleMULTI-CRITERIA SOLAR ENERGY PLANT LOCATION SELECTION USING FUZZY ANP
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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