【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。更多还原

【Abstract】 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.更多还原