The use of fuzzy logic in predicting house selling price

Expert Systems with Applications

Volumn 37, Issue 3, 2010, Pages 1808-1813

  Kuşan, Hakan ^a   Aytekin, Osman ^a   Özdemir, Ilker ^a  

^a ESKISEHIR OSMANGAZI UNIVERSITY   (Turkey)

Author keywords

Fuzzy logic; House price; Local aspects; Prediction model; Real estate market

Indexed keywords

EDUCATIONAL BUILDINGS; ENVIRONMENTAL FACTORS; FUZZY LOGIC MODEL; FUZZY LOGIC SYSTEM; GRADING MODEL; HOUSE PRICE; LOCAL ASPECTS; PREDICTION MODEL; PUBLIC TRANSPORTATION; REAL ESTATE MARKET; SELLING PRICES; TRAINING AND TESTING;

COMMERCE; COSTS; FUZZY SETS; HOUSES; MATHEMATICAL MODELS; MODEL BUILDINGS; SALES;

FUZZY LOGIC;

EID: 70449527549     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.07.031     Document Type: Article

References (26)

1. Alonso W. Location and land use (1964), Harvard University Press, Cambridge
2. Bin O. A prediction comparison of housing sales prices by parametric versus semi-parametric regressions. Journal of Housing Economics 13 (2004) 68-84
3. Brown N.J., and Rosen S. On the estimation of structural hedonic price model. Econometrica 50 3 (1982) 765-768
4. Dilmore, G. (1993). Fuzzy set theory: An introduction to its application for real estate analysts. In Conference of the American real estate society in key west, Florida.
5. Din A., Hoesli M., and Bender A. Environmental variables and real estate prices. Urban Studies 38 11 (2001) 1989-2000
6. Fan G., Ong Z.S.E., and Koh H.C. Determinants of house price. A decision tree approach. Urban Studies 43 12 (2006) 2301-2315
7. Ho D.W.C., Zhang P.A., and Xu J. Fuzzy wavelet networks for function learning. IEEE Transactions on Fuzzy Systems 9 (2001) 200-211
8. Huang S.J., and Chiu N.H. Applying fuzzy neural network to estimate software development effort. Applied Intelligence 30 2 (2009) 73-83
9. Kain J.F., and Quigley J.M. Measuring and value of housing quality. Journal of the American Statistical Association 65 (1970) 532-548
10. Kim K., and Park J. Segmentation of the housing market and its determinants: Seoul and its neighboring new towns in Korea. Australian Geographer 36 2 (2005) 221-232
11. Lancaster K. A new approach to consumer theory. Journal of Political Economy 74 (1966) 132-157
12. Liu J., Zhang G.X.L., and Wu W.P. Application of fuzzy neural network for real estate prediction. LNCS. (Vol. 3973, pp. 1187-1191) (2006), Springer, Berlin
13. Lokshina, I. V., Hammerslag, M. D., & Insinga, R. C. (2003). Applications of artificial intelligence methods for real estate valuation and decision support. In Hawaii international conference on business, Honolulu.
14. Mamdani E.H., and Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies 7 (1975) 1-13
15. Muth R. Cities and housing (1969), University of Chicago Press, Chicago
16. Pagourtzi E., Assimakopoulos V., Hatzichristos T., and French N. Real estate appraisal: A review of valuation methods. Journal of Property Investment and Finance 21 4 (2003) 383-401
17. Rabiega W.A., Lin T.W., and Robinson L.M. The property value impacts of public housing projects in low and moderate density residential neighborhoods. Land Economics 60 2 (1984) 174-179
18. Rosen S. Hedonic prices and implicit markets: Product differentiation in pure competition. Journal of Political Economy 82 (1974) 34-55
19. Selim H. Determinants of house prices in Turkey: Hedonic regression. Expert Systems with Applications 36 2 (2009) 2843-2845
20. Şen Z. Fuzzy algorithm for estimation of solar irradiation from sunshine duration. Solar Energy 63 1 (1998) 39-49
21. Şen Z. Fuzzy logic modeling principles in engineering (2004), Water Foundation Press, Istanbul, Turkey
22. Stevenson S. New empirical evidence on heteroscedasticity in hedonic housing models. Journal of Housing Economics 13 (2004) 136-153
23. Sugeno M., and Kang G.T. Structure identification of fuzzy model. Fuzzy Sets and Systems Man and Cybernetics 23 3 (1993) 665-685
24. Takagi T., and Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems Man and Cybernetics 15 (1985) 116-132
25. Wabe J.S. A study of house prices as a means of establishing the value of journey time, the rate of time preference and the valuation of same aspects of environment in the London Metropolitan Region. Applied Economics 3 (1971) 247-256
26. Zadeh L.A. Fuzzy sets. Information and Control 8 (1965) 338-353