Application of the Grey System in Commercial Housing Price Prediction

摘要

In this paper, basing on the grey system theory with "partial information be known, partial information be unknown" of "small sample", "poor information" uncertainty system as researching object. From the basis of historical data to build models, the price of house and from the background value of improvement is given and the primary value of the two aspects from the selection of optimization of the improved model, using the residual value, poor development coefficient, posterior ratio and the small error is probable to the improved model.