摘要
本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。IDSSIM完善并扩充了现有智能决策系统的功能;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 of its sub-systems. IDSSIM has perfected and extended the function of conventional IDSS. 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.
出处
《计算机科学》
CSCD
北大核心
2004年第3期118-120,共3页
Computer Science
基金
国家自然科学基金(69835001)
教育部科技重点项目(教技司[2000]175)
北京市自然科学基金(4022008)
