摘要
粗糙集理论是一种刻划不完整性和不确定性的数学工具 ,它能有效地分析不精确、不一致、不完整等各种不完备信息。本文给出了基于粗糙集的知识理论 ,该理论不需要预先给定某些特征或属性的数值 ,可从现有的数据出发进行知识的简化和相对简化、范畴的简化和相对简化方法 ,为处理不完备信息提供了一种更符合人类认知的知识理论。此外 ,文中还提出了该理论的应用方法及步骤 。
Lots of knowledge is involved in the research of many complicate subjects. How to deal with knowledge and bring out the answer is the research content of the theory of knowledge. Today, the research about all aspects of the theory have got the wide attention from the researchers in the science of logic,information engineering,systems engineering,artificial intelligence. This paper presents us the theory of knowledge based on rough sets, discusses the application method and gives us a practical example.
出处
《系统工程理论方法应用》
2001年第3期184-188,共5页
Systems Engineering Theory·Methodology·Applications
基金
国家自然科学基金资助项目 ( 70 0 72 0 11)
关键词
知识库
范畴
粗糙集
知识约简
知识理论
knowledge base
category
rough sets
reduct of knowledge
theory of knowledge
