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Determining Residence Prices using Fuzzy Logic: An Application Example




Determining Residence Prices, Fuzzy Logic


In Turkey, real estate sector is a major financial sector and there is no clear method that determines the real estate prices in this sector. This uncertainty in the sector can be modelled by fuzzy control system which is discussed here. In this study, observations that includes randomly selected real estate prices and properties of counties of Balçova, Buca, Bornova, Karşıyaka and Konak in İzmir are taken into account. Real estate prices are modeled by evaluating 15 variables of county, district, age of building, number of rooms etc. in fuzzy modelling system. Absent data are filled using decision trees and traditional methods and data is made suitable for modelling. In order to create a rule base, C4.5 and A-Priori algorithms are applied to the data. 15 variables are evaluated in Mamdani fuzzy modelling system and real estate prices variable is obtained.

Other Details

Paper ID: IJSRDV6I60051
Published in: Volume : 6, Issue : 6
Publication Date: 01/09/2018
Page(s): 89-95

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