The Establishment And Analysis Of The Intelligent Method For Bid Assessment In The Project Construction Field

The bid-tender system in project construction field of China has already been overall carried out. The project construction bid-tender is a kind of trade ways between equal main bodies-tenderee and bidder, from them demands and promises are to be made, and finally an agreement and contract relationship are to be formed. A project construction generally possesses the following characteristics: long term of period, large quantity of investment and a great many of influence factors, which make bid-tender of a project construction much more difficult and complicated than that of material or equipment items. In addition under the influence of the long-term planned economy the bid-tender system of project construction in our country is not mature and is still at its initial stage, there are quite a number of problems to be further investigated and discussed in practice.At present the key problems in bid-tender activity are as follows: there are not clear and definite assessment criteria in some tender documents, composite members of a bid assessment committee for some projects are not normal enough, the members may make bid assessment as one pleases, even corruption-false tender, "money -power trade", etc. are common. From the key link in bid-tender activity-bid assessment criteria and assessment method, aimed at different characteristics of project construction, this thesis sorted analyses bid assessment contents, and by means of the powerful function of neural network the thesis makes a prompt, accurate and complete assessment of bid scheme of multi factors project construction possible.The idea of this research project is: by means of analytic hierarchy process (AHP) to differentiate the complicated bid assessment system into three arrangements i.e. target, bid assessment criteria, and scheme measure (respective bid document) , to compare two bid schemes each others, and then to make synthetic bid assessment as well as to arrange an order of all bid schemes to provide the basis for making a tender decision.In recent years neural network method becomes more and more interesting for its powerful non-linearity mapping functions of learning, memory, distinguishing and reasoning, which makes a prompt, accurate and complete assessment of a multi-factors bid scheme possible. The research project put forward and established a BP network model for bid assessment of project construction, which established a sorted describing characteristic aggregate, a training aggregate and a learning model. The examples of project practice showed that this method is to be high efficient, reliable and practical. The research project has a potential applicable prospect, when it is put into practice huge economic and social benefit will be produced.