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内逆P-信息智能融合与它的属性析取特征-应用 被引量:3

Internal Inverse P-information Intelligent Fusion and its Attribute Disjunctive Character Application
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摘要 逆P-集合(inverse packet set)是由内逆P-集合珡XF(internal inverse packet set)与外逆P-集合珡X珚F(outer inverse packet set)构成的元素集合对;或者,(珡XF,珡X珚F)是逆P-集合;逆P-集合具有动态特性。利用内逆P-集合与内逆P-推理(internal inverse packet reasoning)、内逆P-信息智能融合生成、内逆P-信息智能融合补充生成与内逆P-信息智能融合度量,给出内逆P-信息智能融合定理、内逆P-信息智能融合依赖定理与内逆P-信息智能融合还原定理。给出内逆P-信息智能融合的属性析取特征与属性析取扩展定理,以及属性析取扩展-未知内逆P-信息智能融合发现原理;给出这些理论结果的应用。逆P-集合是研究另一类动态信息应用的新理论、新方法;另一类动态信息具有属性析取特征。 Inverse P-sets (packet sets) are a pair of element sets composed of internal inverse P-set XF (internal inverse packet set XF) and outer inverse P-set XF (outer inverse packet set XF), or (XF ,XF) is an inverse P-set. Inverse P-set has dynamic characteristic. Using internal P-set,internal inverse P-reasoning (internal inverse packet reasoning), inter- nal inverse P-information intelligent fusion generation, internal inverse P-information intelligent fusion supplemented generation and internal inverse P-information intelligent fusion measurement, internal inverse P-information intelligent fusion theorem,internal inverse P-information intelligent fusion dependent theorem and internal inverse P-information intelligent fusion recovery theorem were proposed. The attribute disjunctive character and attribute disjunctive expan- sion theorem of internal inverse P-information intelligent fusion, the attribute disjunctive expansion and unknown inter- nal inverse P-information intelligent fusion discovery theorem recovery theorem were put forward. The application of these theory results was presented. Inverse P-sets is a new theorem and method of studying the other dynamic informa- tion application. The dynamic information has attribute disjunctive character.
出处 《计算机科学》 CSCD 北大核心 2014年第1期262-266,共5页 Computer Science
基金 国家自然科学基金项目(61273277) 福建省自然科学基金项目(2013J01028) 河南省基础与前沿技术研究计划资助项目(132300410289)资助
关键词 逆P-集合 逆P-推理 内逆P_信息智能融合 属性析取 属性析取扩展 智能融合发现 应用 Inverse P-set, Inverse P-reasoning, Internal inverse P-information intelligent fusion, Attribute disjunctive, Attribute disjunctive expansion, Intelligent fusion discovery,Application
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