计算机科学 ›› 2015, Vol. 42 ›› Issue (4): 160-165.doi: 10.11896/j.issn.1002-137X.2015.04.032
徐凤生,于秀清,史开泉
XU Feng-sheng, YU Xiu-qing and SHI Kai-quan
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。
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