KNOWLEDGE-BASED FIS AND ANFIS MODELS DEVELOPMENT AND COMPARISON FOR RESIDENTIAL REAL ESTATE VALUATION

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dc.contributor.authorYalpir, Sukran
dc.contributor.authorOzkan, Gulgun
dc.date.accessioned2020-03-26T19:54:32Z
dc.date.available2020-03-26T19:54:32Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThere has been an increasing concern on the development of alternative approaches to overcome the problems and deficiencies that occur during the application of real-estate valuation methods. This study was established to investigate the usability of the expert knowledge based fuzzy logic methodology in determining real-estates values. In addition, valuation with the Adaptive Neuro-Fuzzy Inference System (ANFIS) method provided model comparison. Samples were administered a questionnaire for the parameters planned for these models regarding the parameters that affect real estate values. To make value estimations for the Fuzzy Inference System (FIS) model by using the parameters obtained from the questionnaire analyses, the criteria that produced the best results were acquired from the various criteria alternatives. An algorithm was created and the valuation process for real estate was performed using the FIS in Konya/Turkey. As a result of poll studies the area, age, floor conditions, physical properties and location of the real-estate property were considered as the input variables and the market value as the output variable. The memberships were established with poll analysis and were rule based on expert knowledge. The model structure was formed by using the Mamdani structure in the MATLAB fuzzy toolbox. Model prediction performance was evaluated statistically with the Mean Absolute Percentage Error (MAPE) and a high accuracy of the model results to the market values indicated the reliability of the established model for residential real-estate valuation.en_US
dc.description.sponsorshipSelcuk University's Scientific Research ProjectsSelcuk Universityen_US
dc.description.sponsorshipThis work was financially supported by the Coordinatorship of Selcuk University's Scientific Research Projects.en_US
dc.identifier.doi10.3846/ijspm.2018.442en_US
dc.identifier.endpage118en_US
dc.identifier.issn1648-715Xen_US
dc.identifier.issn1648-9179en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage110en_US
dc.identifier.urihttps://dx.doi.org/10.3846/ijspm.2018.442
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36750
dc.identifier.volume22en_US
dc.identifier.wosWOS:000429142200003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherVILNIUS GEDIMINAS TECH UNIVen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF STRATEGIC PROPERTY MANAGEMENTen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectresidential real-estateen_US
dc.subjectvaluationen_US
dc.subjectmarket valueen_US
dc.subjectMamdanien_US
dc.subjectmodel establishmenten_US
dc.subjectfuzzyen_US
dc.titleKNOWLEDGE-BASED FIS AND ANFIS MODELS DEVELOPMENT AND COMPARISON FOR RESIDENTIAL REAL ESTATE VALUATIONen_US
dc.typeArticleen_US

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