摘要
本文着重介绍了基于粗糙集理论的智能决策支持系统的总体结构及其各个模块的功能。首先介绍了智能决策支持系统产生的背景.即人工智能技术和决策支持相结合而产生的。粗糙集理论是研究不完整、不确定知识并口.数据的表达、学习、归纳的理论和方法,适合于发现数据中隐含的、潜在有用的规律,即知识,找出其内部数据的关联关系和特征,因此在智能决策支持系统中发挥着重要作用。
This article introduced emphatically based on the rough set theory intelligence decision support system overall structure and each module function, First introduced on the background of Intelligent Decision Support System, or Artificial intelligence technology and the combination of decision support. Rough set theory is incomplete and uncertain data and the expression of knowledge, learning, summarized the theoretical and methodological. Found fit to the data implied that the law potentially useful.
作者
郑铮
李涧
ZHENG Zheng,LI Jian (Computer Science Department,Tangshan Teachers College,Tangshan 063000,China)
出处
《电脑知识与技术》
2007年第6期1392-1392,1409,共2页
Computer Knowledge and Technology
关键词
粗糙集
人工智能
智能决策支持
决策表
Rough Set
Artificial Intelligence
Intelligent Decision Support
Decision Tables