| 外-扰动与属性合取收缩规律挖掘-分离 |
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| 引用本文： | 吴松丽,陈桂友.外-扰动与属性合取收缩规律挖掘-分离[J].山东大学学报(自然科学版),2014(6):1-5. |
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| 作者姓名： | 吴松丽 陈桂友 |
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| 作者单位： | [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 |
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| 基金项目： | 河南省基础与前沿技术研究计划资助项目（132300410289） |
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| 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。
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| 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 |
Outer-disturbances and attributes conjunctive shrink law mining and separating |
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| WU Song-li,CHEN Gui-you.Outer-disturbances and attributes conjunctive shrink law mining and separating[J].Journal of Shandong University(Natural Science Edition),2014(6):1-5. |
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| Authors: | WU Song-li CHEN Gui-you |
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| Institution: | 1. School of Mathematics, Shandong University, Jinan 250100, Shandong, China; 2. Department of Information and Engineering, Zhumadian Vocational and Technical College, Zhumadian 463000, Henan, China; 3. School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China) |
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| Abstract: | 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. |
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| Keywords: | function P-sets outer-disturbances recovery of disturbances attributes conjunctive shrink law mining and separating theorem law mining and identification theorem |
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