摘要
将变精度粗糙集模型引入模糊目标信息系统,建立了模糊目标信息系统的变精度粗糙集模型。定义了四种该模型上的知识约简——β上下近似约简和β上下分布约简;讨论了β上下分布约简的一些性质,提出了β上下分布协调集的判定定理,通过定义相应的区分矩阵给出了求β上下分布约简的区分矩阵算法。
Knowledge reduction is one of the most important tasks in rough set theory. A variable precision rough set model upper and lower theorem and the means of which, is introduced into fuzzy objective information systems, on which four knowledge reductions,β approximation reduction, β upper and lower distribution reduction are defined. The iudgment discernibility matrix with respect toβ upper and lower distribution consistent set is obtained, by the method of β upper and lower distribution reduction is presented.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2007年第11期1859-1862,共4页
Systems Engineering and Electronics
基金
国家自然科学基金(70571032)
中国博士后科学基金(20060390916)
江苏省博士后科研基金(060109C)
江苏省高校自然科学基础研究项目(07KJD120087)
南京审计学院科研项目(NSK2006/A03)资助课题
关键词
变精度粗糙集
模糊目标信息系统
知识约简
区分矩阵
VPRS
fuzzy objective information systems
knowledge reduction
discernibility matrix