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

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 est...

Full description

Saved in:
Bibliographic Details
Main Authors: Jian-zhou Wang, Jin-xing Che, Jin-zhao Liang, Haiyan Lu
Format: Conference Proceeding
Language:English
Subjects:
Alarm systems
Classification tree analysis
decision tree
Decision trees
Design methodology
early warning
Economic forecasting
fuzzy membership function
fuzzy recognition
Fuzzy systems
Investments
Mathematics
Monitoring
Real estate market
Statistical analysis
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/FSKD.2008.24