摘要
给出了基于程度粗糙集模型上知识的近似约简及近似相对约简,引入了目标信息系统上的k上(下)近似约简及k上(下)分布约简的概念,并讨论了它们之间的关系,得到了几个重要结论,可为知识发现或数据挖掘技术奠定一些基础.
The main objective is to introduce some new concepts of knowledge reduction based on the graded rough set theory, such as upper （lower） approximation reduction and upper （lower） distribution reduction. The relationships among alternative reduction in information systems are discussed. These results are meaningful both in theory and practice.
出处
《昆明理工大学学报（理工版）》
2006年第1期119-121,124,共4页
Journal of Kunming University of Science and Technology(Natural Science Edition)
关键词
知识约简
信息系统
粗集理论
knowledge reduction
information system
rough set theory
