摘要
Ｒｏｕｇｈ集理论是一种处理不确定或模糊知识的重要工具。文章介绍了Ｒｏｕｇｈ集理 论的概念和方法，提出了可以应用于汽车故障诊断领域的一些Ｒｏｕｇｈ集方法，并且用实例说明了 Ｒｏｕｇｈ集方法在汽车故障领域中知识发现方面的具体应用。
The Rough set approach is an important tool to deal with uncertain or vague knowledge in AI applications. In this paper, the Rough set theory is further researched, and the methods of Rough set theory that are suitable for the problems of attribute analysis and knowledge discovery in automobile breakdown diagnosis are summarized and proposed.
出处
《交通与计算机》
2000年第3期14-16,共3页
Computer and Communications
