Study On Supporting System Of Enterprise Decision-making On The Basis Of Artificial Intelligenc

As science and technology developing, informationize play a more important role in economy.If the information act on the scientific decision-making of enterprise, it would make a huge contribution in optimizing the allocation of resources and improving the core-competitiveness.However,so far, analysing data with labour statement has been adopted by the greater portion of the enterprise.The disadvantage of this approach is heavy workload, slow and likely to loss data. Therefore, Managers have a strong desire to get a suitable decision supporting system, which help them to acquaint the imformation and make geater decision.This paper deals with the artificial intelligence used on supporting system of enterprise decision-making, and some detail research on supporting system. Coming up with the solution that combinating the data warehouse and data mining to settle the promblem.This paper discus with the problem of mining association rules,presents and analyzes the algorithm of Apriori and FP-Growth;And research the algorithm of ID3 and C4.5,and summarize the performance of their respective advantages and disadvantages.This paper discus the problems of combination that mining association rules and decision tree classification algorithm with DSS,and give a mining algorithm of association Rules on this base,provide a helpful platform to decision of a enterprise.By the above algorithm,this paper design a DSS platform,and discus the problems of visualization on decision tree classification process,pruning,sort results and mining association rules.At last,use a example of deciding the decade of a car with fuel consumption and weight,to verify the correctness and effectiveness.