House selling price assessment using two different adaptive neuro-fuzzy techniques

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dc.contributor.authorGerek, Ibrahim Halil
dc.date.accessioned2025-01-06T17:43:16Z
dc.date.available2025-01-06T17:43:16Z
dc.date.issued2014
dc.description.abstractIt is of high importance to estimate the house selling prices because sellers and buyers need this information in an accurate way at time of sale. As a result of the fact that the estimation of the house prices is extorsive considerable research has been published in the literature on estimating house prices. This study covers the application of two different adaptive neuro-fuzzy (ANFIS) approaches for the estimation of house selling price. In this study, two different ANFIS models, namely ANFIS with grid partition (ANFIS-GP) and ANFIS with sub clustering (ANFIS-SC), were used in forecasting house prices, and the results were evaluated. Comparison of results from the two techniques indicated that the ANFIS-GP models performed better than the ANFIS-SC models. The study suggests that the ANFIS-GP technique can be successfully used in the estimation of house prices in the construction sector. (C) 2014 Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.autcon.2014.02.002
dc.identifier.endpage39
dc.identifier.issn0926-5805
dc.identifier.issn1872-7891
dc.identifier.scopus2-s2.0-84894679382
dc.identifier.scopusqualityQ1
dc.identifier.startpage33
dc.identifier.urihttps://doi.org/10.1016/j.autcon.2014.02.002
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2572
dc.identifier.volume41
dc.identifier.wosWOS:000334139500004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofAutomation in Construction
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectHouse price
dc.subjectPrediction model
dc.subjectReal estate market
dc.subjectAdaptive neuro-fuzzy
dc.titleHouse selling price assessment using two different adaptive neuro-fuzzy techniques
dc.typeArticle

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