摘要
粗糙集理论是目前流行的数据处理方法,而粒计算已经成为粗糙集理论研究的一个热点。本文将粒计算理论运用于粗糙集的知识发现过程,改进现有的知识约简算法,提出新的处理方法,提高了知识约简的速度,对粗糙集理论和粒计算理论在数据约简中的应用做了探索。
The theory of rough sets is a prevalent way for data processing at present,and the granular computing has been a hot spot of the theory of rough sets.In this paper,the theory of granular computing is applied to the process of rough sets in knowledge discovery,the existing knowledge reduction algorithm is improved,and a new method is put forward to increase the speed of knowledge reduction.This paper does a research on the way of reduction in data application by the theory of rough sets and granular computing.
出处
《计算机与现代化》
2013年第9期38-41,共4页
Computer and Modernization
关键词
粒计算
粗糙集
知识发现
granular computing
rough set
knowledge discovery
