Application of Facts-Set Regression in Bid Evaluation

Customarily modern procurement puts to use a multi-purpose way, so the bid valuation and contractor selection turn to be a great problem. The purpose of this paper is to provide a new method to resolve the problem by using regression analysis based on facts-set. This method can evaluation all bids with some cheap computer software. By proving the scientific of this new method, I thinks that it can avoid the defects of the past evaluation methods efficiently. In virtue of the regression analysis to carry on the bid evaluation, this paper puts forward three kinds of different concrete ways: comparison of the residuals, using equivalent-benefit curve, setting up indexes-related evaluation system. The method can be used separately to trade off two or several factors, and can handle indexes whatever linear correlation or nonlinear correlation. This method can also be used in conjunction with other methods in the procession of bid evaluation, to better solve problems in our life.