An Early Warning System for Real Estate Market Based on Fuzzy Classification Theory
The objective of this paper is examine the application of fuzzy classification theory to an early warning system in real estate market. This research is based on the methodology of fuzzy classification theory by a case study of the real estate market of Shenzhen, a city in China in terms of the process of early warning, indices selecting and principles. The results shows that this method offers a useful decision approach and an effective early warning technique for the real estate development enterprise and the government
early warning system real estate fuzzy classification
HOURui GUOLei XI Bao WANG Wei
School of Management, Haibin Institute of Technology. Haibin, Heilongjiang. 150001 School of Management, Harbin Institute of Technology. Harbin, Heilongjiang. 150001
国际会议
2003 International Conference on Construction & Real Estate Management(2003 建设与房地产管理国际会议)
哈尔滨
英文
120-123
2003-11-20(万方平台首次上网日期,不代表论文的发表时间)