Research on Real Estate Early Warning System Based on Decision Tree and Fuzzy Recognition Theory

Abstract

This paper presents a pre-warning system developed to monitor and provide pre-warning to the governmental decision makers in real estate market, applying the grey relational analysis and model design method, with the fuzzy recognition theory based on decision tree and its effectiveness. The real estate early warning system has been designed successfully by the three sub-modules of feature selection on each non-terminating node, decision rule on each non-terminating node and a new fuzzy decision tree method, early warning for the real estate market. The article details analysis and recognition module, a set of factors are selected by grey relational analysis and fuzzy recognition early-warning method is used, which can monitor the real estate property market, is developed. Empirical results indicate that the pre-warning system can provide useful information to regulate the property market.