Research On Quick Bidding System For Manufacture

Aiming at all sorts of difficult problems in products quotation course, the paper utilizes such a set of artificial intelligence as the law of fuzzy analogy and fuzzy neural network ,etc. to offer DSS for the board conveyer . The research contents with main full text and research results are summarized as follows:First of all , estimate the inaccurate difficult problem consuming time to the cost while making products quotation course, improve the existing index and predict the law levelly and smoothly with the fuzzy mathematics theory, propose the fuzzy similar comparative law builds and constructs the cost to appraise models, thus the speed and precision of improving the cost and estimating greatly .Secondly , it is difficult to confirm the difficult problem of " bid situation " to submit a tender and offer in the course to making the products, use the combination of fuzzy mathematics and neural network to realize making the products and offering models fast, have overcome the defect such as being slow , some and extremely little of learning efficiency of BP neural network. The experimental result shows : Use offering the decision model to meet real quotation's needs further fast of the fuzzy neural network. 0 On the basis of rational modeling, use MATLAB software to realize tentatively, regarding data obtained the sample from a large number of historical data as will train to the network, surveyed examining at the same time .