基于信息挖掘的智能决策支持系统的结构设计  

A Structure Design of Intelligent Decision Support System Based on Information Mining

作　　者：苏占东[1,2] 杨炳儒[1] 游福成[1] 

机构地区：[1]北京科技大学信息工程学院 [2]河北工程学院,河北邯郸056000

出　　处：《计算机应用研究》2005年第3期27-30,共4页Application Research of Computers

基　　金：国家自然科学基金重点项目 ( 69835001 );教育部科技重点项目(科技司 [ 2002 ] 175 );北京市自然科学基金资助项目(4022008)

摘　　要：讨论了基于信息挖掘的智能决策支持系统(IntelligentDecisionSupportSystemBasedonInformationMin ing,IDSSIM)的总体结构模型和各子系统功能描述。IDSSIM完善并扩充了现有智能决策系统的功能,改变了现有智能决策支持系统的运行机制,将领域专家的知识获取、推理机制、KDD*挖掘和Web挖掘有效地融入智能决策支持系统中,从而形成了一类具有双网、六库、综合集成、多层递阶和模型驱动的新型智能决策支持系统。IDSSIM对智能决策支持系统的主流发展起着重要的推动作用,有望形成新一代的智能决策支持系统模型。This paper mainly discusses the general structure model of IDSSIM (Intelligent Decision Support System Based on Information Mining) and describes the function of each of its sub-systems. IDSSIM has perfected and extended the function of conventional IDSS, and revised the running mechanism of conventional IDSS. Knowledge acquiring of domain experts, reaso-ning mechanism, KDD~* mining and Web mining are efficiently fused into IDSS.Consequently, IDSSIM is a new type of intelligent decision support system that covers two networks and six bases. Furthermore, it is synthetically integrated, multi-tiered, and model-driven. It is promising that IDSSIM would play an important role in promoting the mainstream development of IDSS and become a new generation of intelligent decision support model.

关 键 词：信息挖掘 智能决策 KDD＊ WEB挖掘 推理机制 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]