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Rough Set Approximations in an Incomplete Information Table

机译:不完整信息表中的粗糙集近似

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We present a new method for constructing and interpreting rough set approximations in an incomplete information table in four steps. Step 1: we introduce the notion of conjunctively definable concepts in a complete table. Step 2: we suggest a slightly different version of Pawlak rough set approximations in a complete table by using the family of conjunctively definable concepts. Step 3: we adapt a possible-world semantics that interprets an incomplete table as a family of complete tables. Correspondingly to conjunctively definable concepts in a complete table, we introduce the notion of conjunctively definable interval concepts in an incomplete table. Step 4: we study rough set approximations in an incomplete table by using the family of conjunctively definable interval concepts. Our method focuses on a conceptual understanding of rough set approximations for the purpose of rule induction. It avoids difficulties with existing approaches with respect to semantical interpretations.
机译:我们提出了一种在四个步骤中构造和解释不完整信息表中的粗糙集近似的新方法。第1步:我们在完整的桌子中介绍了联合可定义的概念的概念。第2步:我们通过使用联合可定义的概念系列建议在完整表中略微不同版本的Pawlak粗糙集近似。第3步:我们适应一个可能的世界语义,将不完整的表格解释为一个完整表的家庭。相应地在一个完整的表中相应的可定定概念,我们介绍了一个不完整的表中的联合可定义的间隔概念的概念。步骤4:通过使用联合可定义的间隔概念的家族研究不完整表中的粗糙集近似。我们的方法侧重于对规则感应目的的粗糙集近似的概念理解。它避免了现有方法关于语义解释的困难。

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