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内扰动与属性合取扩展规律挖掘-发现
Internal-disturbances and Attributes Conjunctive Expanding Law Mining-discovery
【摘要】 扰动的存在使得系统标准输出规律变成非标准输出规律的现象等价于在扰动存在的条件下,非标准输出规律被挖掘-发现;利用函数P-集合模型与它的动态特征给出这个现象的理论研究.主要结果:给出函数P-集合的结构与规律扰动,扰动恢复概念;给出扰动度量;利用这些概念,给出内扰动与属性合取扩展定理;属性合取扩展与内扰动规律挖掘定理,内扰动与规律挖掘辨识定理,内扰动与规律挖掘属性不变性定理.
【Abstract】 The phenomenon that the system output law departs from the system standard output law caused by the existence of disturbances is equivalent to the non-standard output law is mined and discovered under the condition of existence of disturbances.The theory research of this phenomenon is carried out using function P-sets model and its dynamic characters.The main results of this paper are,the structure of function P-sets,concept of law disturbance and concept of disturbance recovery are presented,and disturbance scale are proposed.Using these concepts,the internal-disturbances and attributes conjunctive expand theorem,attributes conjunctive expand and internal-disturbances law mining theorem,internal-disturbances and law mining-identification theorem and internal-disturbances and law mining attributes constancy theorem are put forward.
【Key words】 function P-sets; internal-disturbances; recovery of disturbances; attributes conjunctive expand; law mining theorem; law mining and identification theorem;
- 【文献出处】 数学的实践与认识 ,Mathematics in Practice and Theory , 编辑部邮箱 ,2014年15期
- 【分类号】O144
- 【下载频次】21