Mathematical Model of Forecasting the Residential Real Estate Market Prices Level

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.

The Mathematical Model of Forecasting the Price Level in the Regional Market of Residential Real Estate

“…Укрупненно методы прогнозирования разделяют на интуитивные и формализованные. Их отличие состоит в том, что формализованные методы позволяют выразить результаты количественно (в основном их объясняют математические модели), а интуитивные методы носят качественный характер, и, как правило, получены из опыта (суждения и оценки экспертов) [13].…”

Mathematical Model of Forecasting the Residential Real Estate Market Prices Level

“…The described patterns and factors of influence are displayed as a network model of knowledge representation -a symbolic cognitive map, in which the state of the market is influenced by a wide variety of factors, among which are: oil prices, employment of the population, inflation, state budget expenditures, household incomes, business fluctuations, class of housing, number of rooms, loan rates, volumes of primary and secondary markets [1].…”