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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...

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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
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creator	Jian-zhou Wang Jin-xing Che Jin-zhao Liang Haiyan Lu
description	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_str_mv	10.1109/FSKD.2008.24
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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.</abstract><pub>IEEE</pub><doi>10.1109/FSKD.2008.24</doi><tpages>5</tpages></addata></record>
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language	eng
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source	IEEE Electronic Library (IEL) Conference Proceedings
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
title	Research on Real Estate Early Warning System Based on Decision Tree and Fuzzy Recognition Theory
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