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Matroidal approaches to generalized rough sets based on relations

机译:基于关系的广义粗糙集的拟阵方法

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Rough set theory is a useful tool for dealing with the vagueness, granularity and uncertainty in information systems. This paper connects generalized rough sets based on relations with matroid theory. We define the upper approximation number to induce a matroid from a relation. Therefore, many matroidal approaches can be used to study generalized rough sets based on relations. Specifically, with the rank function of the matroid induced by a relation, we construct a pair of approximation operators, namely, matroid approximation operators. The matroid approximation operators present some unique properties which do not exist in the existing approximation operators. On the other hand, we present an approach to induce a relation from a matroid. Moreover, the relationship between two inductions is studied.
机译:粗糙集理论是处理信息系统中的模糊性,粒度和不确定性的有用工具。本文将基于粗糙关系的广义粗糙集与拟阵理论联系起来。我们定义上近似值以从关系中诱发拟阵。因此,许多类曲面方法可用于研究基于关系的广义粗糙集。具体地,利用由关系引起的拟阵近似函数的秩函数,我们构造了一对近似算子,即拟阵近似算子。拟阵近似算子具有一些独特的特性,这些特性在现有的近似算子中不存在。另一方面,我们提出了一种从拟阵中引入关系的方法。此外,研究了两个感应之间的关系。

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