Research on Synthetic Decision Support Technology Based on DataFarming

摘要

In order to solve the problems existed in current decision support system, such as closed, model-oriented, forbidding uncertainty and risk, oriented to analysis of few determined scenario, a novel synthetic decision support system(SDSS) based on data farming is proposed and established in this paper. Taking data warehouse as platform, the SDSS searches unknown information and unexpected knowledge by use of data farming, while data mining is utilized to extract reliable, original and valuable knowledge from large quantities of data. The organic combination of data farming, data mining and data warehouse opens up a new way for research on decision support system, and simulated experiments verify the validity of this technology.