Grey Decision-making To Real Estate Programming Project

In present period, development of economy apply chance and challenge to real estate corporations , however , vast capital and great risk also bring and challenge to decision-maker , especially primal programming project is most important. But, in fact, we can not be optimistic to actualities ,there is a problem in many real estate corporations, that is, a choice to decision-making projects is very unbending, some decision-makers often regard themselves' experiences and attitude as selective index, and do not have rigorous theoretical analysis. Some decision-makers seek machination company's help, but there is no a canonical estimate method, say nothing of right decision.In this thesis, the problem of project estimate and selectiveness in real estate decision-making were resolved according to analyzing and discussing actuality of real estate. Price, demand, and risk were forecasted firstly, then the numerical values of guide line according to forecast were worked out, finally decision was made by using grey correlation degree. In this thesis, applying grey forecast, fuzzy forecast and grey decision-making, real estate project select model were established, and afford scientific method aiming to project estimate for real estate enterprise and give new thinking way further for obtaining correct decision-making. At the same time, forecast primary factors that influence decision and steps of programming project decision were pointed. At last, a case study about decision-making process was given.