The use of fuzzy logic in predicting house selling price

KUŞAN H., AYTEKİN O., Oezdemir I.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.37, sa.3, ss.1808-1813, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 3
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.eswa.2009.07.031
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1808-1813
  • Anahtar Kelimeler: Fuzzy logic, House price, Local aspects, Prediction model, Real estate market, NEURAL-NETWORK, DETERMINANTS
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

In this paper, a new grading model has been developed for prediction of the selling price of house-building. Fuzzy logic systems, considering the city plans, the nearness to cultural, medical, training and educational buildings. the public transportations systems, the other environmental factors and the increased technological upgrading deals with information about construction, have been employed in order to construct the model and achieve the aim. Such factors are used as the inputs. Besides, a questionnaire application including these factors has been applied to determine the values of fuzzy training and testing sets. In this way, the constructed model has been applied to the prediction of selling prices of houses located in different regions of Eskisehir city in Turkey. The predicted values and real selling prices determined by selling market have been compared with each other. Consequently, real selling price of house-building has shown variety with respect to the regional aspects and salesmen. The suggested fuzzy logic model can be capable and usable for similar applications. (C) 2009 Elsevier Ltd. All rights reserved.