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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》2015年第4期160-165,共6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);山东省科技发展计划(2011GGA14074)资助
摘 要:单向S-粗集(one direction singular rough sets)与单向S-粗集对偶(dual of one direction singular rough sets)是S-粗集(singular rough sets)的两种动态结构;在一定条件下,单向S-粗集与单向S-粗集对偶被还原成Z.Pawlak粗集。单向S-粗集与单向S-粗集对偶分别是S-粗集的基本形式之一。利用单向S-粗集与单向S-粗集对偶,给出动态知识的属性合取范式与属性合取范式萎缩-扩张特征,给出知识推理结构与推理模型。利用单向S-粗集,单向S-粗集对偶,属性合取范式与知识推理交叉、融合、渗透,给出具有属性合取范式萎缩-扩张特征的动态知识生成与生成定理;给出在知识推理条件下的动态知识智能发现与它的属性逻辑关系;给出动态知识的智能筛选、筛选准则、筛选定理与应用。One direction singular rough sets and dual of one direction singular rough sets are two dynamic structures of S-rough sets.Under certain conditions,one direction singular rough sets and dual of one direction singular rough sets can be reverted to Z.Pawlak rough sets,and they are also thought as one fundamental form of S-rough sets.Using one direction singular rough sets and dual of one direction singular rough sets,attribute conjunction normal form of dynamic knowledge and its shrinking-expansion characteristics were provided.Furthermore,there are the knowledge reasoning structure and reasoning modal.By the above knowledge intersection and fusion,dynamic knowledge generation with characteristics of attribute conjunction normal form shrinking-expansion and generation theorem.And the logic relation between intelligent discovery and attributes of dynamic knowledge were obtained when they satisfy knowledge reasoning condition.Finally intelligent filter,filter criterion,filter theorem and applications were presented.
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