外-扰动与属性合取收缩规律挖掘-分离  

Outer-disturbances and attributes conjunctive shrink law mining and separating

作　　者：吴松丽[1,2] 陈桂友[3] 

机构地区：[1]山东大学数学学院,山东济南250100 [2]驻马店职业技术学院信息工程系,河南驻马店463000 [3]山东大学控制科学与工程学院,山东济南250061

出　　处：《山东大学学报（理学版）》2014年第6期1-5,共5页Journal of Shandong University(Natural Science)

基　　金：河南省基础与前沿技术研究计划资助项目(132300410289)

摘　　要：利用函数P-集合模型与它的动态特性和规律特征,给出函数P-集合的结构与规律扰动、扰动恢复概念、扰动度量,利用这些概念得到外-扰动与属性合取收缩定理、属性合取收缩与外-扰动规律挖掘-分离定理、外-扰动与规律挖掘辨识定理和不变性定理。Using function P-sets model, its dynamic characters and law feature, the law disturbance concept, recovery of disturbances and disturbance scale are presented.Using these concepts, the outer-disturbances and attributes conjunc-tive shink theorem, attributes conjunctive shrink and outer-disturbances law mining-separating theorem, outer-disturb-ances and law mining-identification theorem and outer-disturbances and law mining attributes constancy theorem are pro-posed.

关 键 词：函数P-集合 外-扰动 扰动恢复 属性合取收缩 规律挖掘-分离定理 规律挖掘辨识定理 

分 类 号：O144[理学—数学]