属性内-外融合与信息智能挖掘-分离  

Intenal-Outer Fusion of Attributes and Intelligent Digging-Seperation of Information

作　　者：徐凤生[1] 于秀清[1] 史开泉[2] 

机构地区：[1]德州学院数学科学学院,德州253023 [2]山东大学数学与系统科学学院,济南250100

出　　处：《计算机科学》2014年第7期254-260,共7页Computer Science

基　　金：山东省自然科学基金(ZR2010AL019);山东省高校科技计划(J12LN92)资助

摘　　要：P-集合(packet sets)是一个动态数学模型(动态信息模型,动态数据模型),P-推理是P-集合生成的一个动态推理,属性合取范式是P-集合中的元素与属性之间的逻辑特征。将P-集合、P-推理与属性合取交叉、渗透,给出属性内-融合及属性外-融合与属性内-外融合概念、属性内-外融合定理、属性内-外融合与属性合取范式扩展-收缩关系、扩展-收缩关系定理,以及P-推理与属性内-外融合智能生成。利用这些理论结果,给出属性内-外融合在信息智能挖掘-分离中的应用。属性融合(属性内融合、属性外-融合、属性内-外融合)是潜藏在P-集合内的一个重要应用特性。P-sets（packet sets） are a dynamic mathematical model（a dynamic information model,or a dynamic data mo- del）, while P-reasoning is a dynamic reasoning generated by P-sets. The attribute conjunctive normal form expresses logi- cal implication between elements and attributes in P-sets. By using crossing and permeating among P-sets, P-reasoning and attributes, the concepts of attribute internal fusion, attribute outer fusion and attribute internal-outer fusion were proposed. Furthermore, the theorems about attribute internal-outer fusion, and the relations between attribute internal- outer fusion and attribute conjunctive normal form were obtained. The extension-shrinkage relation theorem and intelli- gence generation of attribute internal-outer fusion were given. On the end, attribute internal -outer fusion was applied to information intelligent digging-seperation. In the fact, attribute fusionin including attribute internal fusion, attribute outer fusion and attribute internal-outer fusion is an iraoortant characteristics hidded in P-sets.

关 键 词：P-集合 P-推理 属性合取 属性融合 融合智能生成 信息智能挖掘-分离 应用 

分 类 号：O144[理学—数学] TP18[理学—基础数学]