节点文献
基于程度粗糙集的知识约简方法
Knowledge Reduction Based on Graded Rough Set
【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.
【Abstract】 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.
- 【文献出处】 昆明理工大学学报(理工版) ,Journal of Kunming University of Science and Technology(Science and Technology) , 编辑部邮箱 ,2006年01期
- 【分类号】TP182
- 【被引频次】4
- 【下载频次】181