摘要
本文在商业DBMS的基础上,提出了一种基于粗糙集理论的模型,以利于信息不完备情况下的推理和决策问题的解决和研究。这种的模型可以很方便的根据给定的信息,在最符合实际的子系统上得出尽可能好的结论。
On purpose of improving the solution and research in reasoning and dec ision making problems when the information in hand is not sufficient ,a data min ing model based on rough set theory is presented in commercial DBMS. The present ed model can be applied conveniently by selecting suitable sub-systems in accord ance with the given information and computing the best decision from the rules i n those sub-systems.
出处
《微计算机信息》
2004年第5期96-97,共2页
Control & Automation
关键词
知识发现
数据挖掘
决策系统
knowledge discovery
data mining
decision systems
