基于信息挖掘的智能决策支持系统的多智体结构设计

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

该文讨论了基于信息挖掘的智能决策支持系统IDSSIM的总体结构模型和各子系统功能描述。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。

This paper mainly discusses the general structure model of IDSSIM and describes the function of each sub-systems.Knowledge acquiring of domain experts,reasoning 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.