基于信息挖掘的智能决策支持系统的结构设计

讨论了基于信息挖掘的智能决策支持系统( Intelligent Decision Support System Based on Information Min-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。

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

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 intel-ligent 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.