Research On The Auxiliary Decision System Of Bidding Based On Data Mining

The thesis divided the progress of quotation decision making into: "biding decision making" and "quotation decision making" two sequent steps, and studied carefully the results both domestic and international decision making studies. Further to generalize and summarize the status of biding decision making pattern and quotation decision making.Based on the theory, using data digging technology, the thesis formed the new method combining vague synthesis assessment and NN and then acquired expectancy output of NN module in training period by using vague synthesis assessment. In the meantime, Quote decision making pattern based on case rational is a calculating method to utilize experience gained from similar problem solving in the pass to solve current problems. And thus to studied in feasibility of the pattern and making auto-pick up of quoting rule possible. Finally, combining two kinds of module and utilizing other sophisticated data digging method, we developed a full set of bid quoting decision making assistant system.To some extent, this bidding facilitation system avoids conventional empirical judging method and simple estimation, which are easy to lead to wrong decision by subjective factor, and makes decision more accurate and rational. At the same time, it may reduce workload of decision making work.Bidding facilitation system relates to various knowledge segments, this study will go further in areas of improving explainability of intelligent assistant decision and knowledge base.