摘要
粗糙集理论是一种新的处理模糊和不确定性知识的数学工具,其主要思想就是在保持分类能力不变的前提下,通过知识约简,导出问题的决策和分类规则.因此,将粗糙集理论引入复方拆方,将有助于从复方配伍的动态性和不确定性的本质上去深入而确切地开展方剂配伍规律的量化研究,从而改变药味与药效之间的分离状态.
The rough set theory is described briefly. The decision-making table ,attribute reduction,rule generation and rough set with variable precision are discussed in detail. The data mining process of prescription composing is illustrated by a selection of the Rational Form. Rough set theory is another new tool for unvertainty description. Opening a new way for Selection of prescription.
出处
《太原师范学院学报（自然科学版）》
2005年第4期30-32,共3页
Journal of Taiyuan Normal University:Natural Science Edition
关键词
数据挖掘
粗糙集
属性约简
data mining
rough set
attribute reduction
