Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2338
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dc.creatorDeveci, Muhammet
dc.creatorPamučar, Dragan
dc.creatorOguz, Elif
dc.date.accessioned2023-05-12T11:42:24Z-
dc.date.available2023-05-12T11:42:24Z-
dc.date.issued2022
dc.identifier.issn0306-2619
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2338-
dc.description.abstractThis study presents a quantitative methodology for Floating Photovoltaic (FPV) power plant site selection in Turkey using Geographical Information Systems (GIS) and fuzzy sets, which is one of the Multi-Criteria Decision Making (MCDM) methods. In this study, we propose a new hybrid framework which combines fuzzy rough number (FRN) based decision making model including LAAW (Logarithmic Additive Assessment of the Weight coefficients) and RAFSI (Ranking of Alternatives through Functional mapping of criterion subintervals into a Single Interval). The fuzzy rough number is applied for handling the uncertainty and inaccuracy of experts' opinions in the evaluation process. Firstly, FRN based LAAW method is used to determine the weighting co-efficients of the criteria. Secondly, FRN based RAFSI method is used to rank the alternatives. The proposed decision making model is applied to determine feasible site for Floating Photovoltaic (FPV) system in Southern part of Turkey. Out of the five alternative sites, Manavgat -Antalya is concluded to be the most suitable site, and the second-best alternative is Goksun-Karaman. The results show the rationality and applicability of the pro-posed model.en
dc.publisherElsevier Sci Ltd, Oxford
dc.relationScientific and Technological Research Council of Turkey (TUBITAK)
dc.relationIranian Ministry of Science, Research and Technology (MSRT) Bilateral Cooperation Program [121N037]
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceApplied Energy
dc.subjectSite selectionen
dc.subjectRenewable energyen
dc.subjectMulti-criteria decision makingen
dc.subjectFuzzy rough numbersen
dc.subjectFloating Photovoltaicen
dc.titleFloating photovoltaic site selection using fuzzy rough numbers based LAAW and RAFSI modelen
dc.typearticle
dc.rights.licenseBY
dc.citation.other324: -
dc.citation.rankaM21~
dc.citation.volume324
dc.identifier.doi10.1016/j.apenergy.2022.119597
dc.identifier.fulltexthttp://prototype2.rcub.bg.ac.rs/bitstream/id/851/2334.pdf
dc.identifier.rcubconv_2772
dc.identifier.scopus2-s2.0-85135393444
dc.identifier.wos000862846000003
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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