摘要
粗糙集理论是一种处理模糊和不确定知识的数学工具,正越来越被人们所重视.首先介绍了集值信息系统和粗糙集理论的相关知识,说明经典信息系统可以作为简单的集值信息系统处理,然后在集值信息系统中,以粗糙集理论为基础,引入包含度的概念,介绍包含度的几种生成方法,建立包含度的知识发现方法,最后通过具体的例子说明这种决策规则提取方法是有效的.
Based on rough set theory, the concept of inclusion degree and a number of methods for its generation have been introduced, setting forth the Knowledge Discovery Method. The efficiency of the method has been demonstrated. Rough set theory is a new mathematical tool to deal with vagueness and uncertainty and is being recognized gradually. Its basic theory is to utilize equivalent classification through attribution and decision rule reduction to obtain and to simplify knowledge with the same ability of classification. It has been widely used in the area of AI, machine learning, model recognition, predictive modeling, etc.
关键词
粗糙集
知识发现
包含度
决策规则
rough set
knowledge discovery
inclusion degree
decision rule
