Mathematical Model of Forecasting the Residential Real Estate Market Prices Level

Article Preview

Abstract:

The authors consider the residential real estate market as a complex socio-technical system, for the prediction of which it is advisable to use a combination of classical methods of forecasting and soft computing or intelligent data processing. The development forecast of the residential real estate services market with the help of foresight technologies is made. We performed the analysis and identified the main factors acting in the market, and their impact on the development of market trends. A mathematical model of residential real estate value forecasting based on the theory of fuzzy sets is developed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1101-1106

Citation:

Online since:

September 2018

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2018 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] E.V. Voronina, N. V. Bereza, Forecast of the real estate market development, in: Materials of the international (extramural) scientific and practical conference Economics and management in the XXI century: Strategies of sustainable development , Penza: Science and Education, 2017, pp.153-155.

Google Scholar

[2] N. V. Bereza, A. N. Bereza, M. V. Lyashov, L. Blanco, The principles of analytic decision support system construction on the basis of fuzzy logic, in: The 9th IEEE International Conference on Application of Information and Communication Technologies (AICT2015), Rostov-on-Don, pp.161-166.

DOI: 10.1109/icaict.2015.7338538

Google Scholar

[3] M.M. Yagovtseva, D.B. Potapov, Evaluation of the utility of multi-attribute goods in the residential real estate market, Marketing and marketing research. 3 (2013) 192-208. (In Russian).

Google Scholar

[4] S.V. Sil'nova, G.R. Polyudova, E.A. Puzyrnikova, Support of decision-making in enterprise management on the basis of fuzzy models, Herald of Computer and Information Technologies. 11 (2009) 33-41. (In Russian).

Google Scholar

[5] A. Pegat, Fuzzy modeling and management: textbook, Binom. Laboratoriya znaniy, Moscow, 2013. (In Russian).

Google Scholar