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Decision Making for Site Selection Using Fuzzy Modeling

dc.contributor.authorBostanci, Bulent
dc.contributor.authorZeydan, Mithat
dc.contributor.authorCete, Mehmet
dc.contributor.authorDemir, Hulya
dc.contributor.authorKaraagac, Abdullah
dc.date.accessioned2026-06-27T14:02:41Z
dc.date.issued2017
dc.description.abstractHousing development provides economic growth with location, project ideas, and capital factors. In addition to their own experiences, workers in the field of housing development should consider several criteria when choosing the best locations for residential investments. All of these criteria can be evaluated using fuzzy multicriteria decision-making analyses. In this study, the weights of different evaluation criteria are determined using the fuzzy analytic hierarchy process (FAHP) and fuzzy entropy (FENTROPY) methods. Luxury residential zone-oriented ranking is applied using the fuzzy technique for order preference by the similarity to ideal solution (FTOPSIS) method with weights determined by the FAHP and FENTROPY methods. Performance evaluation for the determination of the best luxury housing is performed by the FTOPSIS method. The criteria weights used in luxury housing site selection are calculated using both objective and subjective techniques. This method was tested for Istanbul, Turkey, and presents an application of fuzzy multicriteria decision-making techniques for area and housing planning problems using several criteria.en
dc.description.urihttps://doi.org/10.1061/(asce)up.1943-5444.0000355
dc.identifier.doi10.1061/(asce)up.1943-5444.0000355
dc.identifier.eissn1943-5444
dc.identifier.issn0733-9488
dc.identifier.issue1
dc.identifier.urihttps://hdl.handle.net/20.500.14981/56710
dc.identifier.volume143
dc.identifier.wos000395555200011
dc.language.isoeng
dc.publisherASCE-AMER SOC CIVIL ENGINEERS
dc.relation.ispartofJOURNAL OF URBAN PLANNING AND DEVELOPMENT
dc.subjectSite investigation
dc.subjectKnowledge management
dc.subjectFuzzy analytic hierarchy process
dc.subjectPlanning and scheduling
dc.subjectFuzzy entropy
dc.subjectTOPSIS
dc.subjectAHP
dc.subjectLOCATION
dc.subjectSYSTEM
dc.subjectEngineering
dc.subjectPublic Administration
dc.subjectUrban Studies
dc.titleDecision Making for Site Selection Using Fuzzy Modeling
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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