Establishing and Applying the Rough-MR Model in Real Estate Bubbles Early-Warning
The real estate bubbles early-warning Rough-MR model is established by combining the rough set theory and fuzzy pattern recognition theory. The indexes of the bubbles early-warning model are reduced with the information and condition entropy in the rough set theory and the alarm degree of the sample bubbles is distinguished by using the recognition and class discursion ability of the pattern recognition. The science and rationality of index choosing and the veracity of forecast are increased greatly. The limitation in respect of index choosing and weight determining in the real estate research is overcome theoretically. Then taking example for the real estate market Hangzhou, the market alarm is judged. At same time adaptive countermeasure is brought forward by alarm condition analysis which affords references for government to constitute regulation and control policies. It is the government responsibility to consider the situation, propel the construction of market system, build honesty and credit real estate and regulate market activity which keeps the real estate market on developing healthily in the future.
Conditional entropy Early-warning Fuzzy pattern recognition theory Real estate bubbles Rough set.
BoTao YU
Department of Economic Management, Northeast Forestry University
国际会议
哈尔滨
英文
575-580
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）