Knowledge Expression in the Intelligence Decision Support System the Exploration of the Data Mining on the Theory of Rough Sets

摘要

In the past decade, the studies on the intelligence decision support system have become a hot issue in the fields of computer management information system. Furthermore, with the development of artificial intelligence, more and more new theories and methods are applied to the intelligence decision support system. This paper explores the knowledge expression in this system, discusses the functions of property in the knowledge expression system, and reveals the features and functions of this system in the form of decision format. Bases on the theory of the rough sets, the useful features of the information are analyzed and processed in the mass data and then the minimum decision rules worked out. Finally, the discussion is focussed on the ways of how to apply the theory of rough sets to discovering the decision rules that are suitable to the practical local situations from the data of the present bank business network, and how to make use of this discovery to decide the layout of the business network.