Applied Research Into Cluster Analysis Models Of Real Estate Investing Decision

Making investment decision, is the key sector of developing real estate item, which directly affect the risk extent of item developed, as well as the benefit of investment. With the escalation of competition in realty, the development merchant and decision-maker, on the basis of research about qualitative decision, urgently need some more accurate and scientific theories and methods about making investment decision.From the angle of real estate development merchant, through a big amount of research and investigations, also based on consult lots of document means, the research mainly about the ways of cluster method, builds three mathematic models, such as blurring cluster analysis, dynamic cluster analysis, gray cluster analysis, the paper also has a further discussion about the practical application of models in making investment policy on real estate.By using of blurring cluster model to analysis and classify the real estate items, could find the blank parts of market and find the affection about sales quantity from composition of every factors. Through cluster of some feature index that real estate items has being build up, in order to sum up the regional adaptability of the items. It can be reference impact when you are making some choice of regions. Gray cluster analysis is by use of decision-making theory of gray system, different decision-making items in accordance with evaluate index (affection factors), and with evaluate aim to cluster analysis, then you can queue up the aims which is good or bad, in order to give decision-making evidence to decision-maker.Through the study of the above issues, the paper offers a systemic quantitative analysismethods to the real estate development merchant and decision-maker, these methods have some more reference value, thereby, it can promotes real estate enterprises making investment decision scientifically and specially .