The Research Of Pricing Method On Yongjingxian Commodity House Project Based On GFCM

Setting a scientific and reasonable commercial housing price is the most effective way for enterprises to adapt to market as well as the key for enterprises to realize their strategic goals. If a residential project is in a reasonable price, it will easily attract consumers’attention. In this way, enterprises can occupy the market share, accelerate fund flow, and finally achieve its strategic objectives. The best way to make a commercial housing price is to refer to its characteristics, area environment and market environment.By referring to related literatures about commercial housing pricing at home and abroad, this paper do a classification and summary of corresponding theories and the methods. Considering the actual situation of YongJingXiAn residential project and comparing and analyzing many pricing methods, the paper chooses market comparison approach to price this project. But there exist selecting instance blindly, selecting index and setting weight strong subjectivity, pricing rough and so on in the traditional market approach. To make up the disadvantages of market comparison approach, this paper adopt the grey theory, rough sets, fuzzy clustering analysis and the exponential smoothing, whose purpose is to establish the market comparison approach model based on grey fuzzy clustering analysis, and to use the model to price YongJingXiAn commodity residence project. The new pricing model erase the defects in the the traditional market comparison approach. To test the accuracy of the model’s calculation results, this paper establishes commercial housing price model of the BP neural network for YongJingXiAn project to calculate its price, and then make a comparison with that of comparison method.By studying the pricing method of the YongJingXiAn, this paper establishes a scientific and reasonable pricing model, which will enrich the relevant theories and methods of pricing commodity housing projects, and provides a strong reference and guidance to other projects’ pricing.