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Matrix approaches to rough sets through vector matroids over fields

机译:矩阵通过场上的矢量拟阵获得粗糙集

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摘要

Rough sets were proposed to deal with the vagueness and incompleteness of knowledge in information systems. There are many optimisation issues in this field such as attribute reduction. Matroids generalised from matrices are widely used in optimisation issues. Therefore, it is necessary to connect matroids with rough sets. In this paper, we take fields into consideration and introduce matrices to study rough sets through vector matroids. First, a matrix representing of an equivalence relation is proposed, and then a matroidal structure of rough sets over a field is presented by the matrix. Second, the circuits of the matroidal structure are studied through matrix null spaces. Third, over a binary field, we construct an equivalence relation from a matrix null space, and find that a family of equivalence relations and a family of sets, which any member is a collection of the minimal non-empty sets that are supports of members of null space of a binary dependence matrix, are isomorphic. In a word, matrices provide an interesting viewpoint to study rough sets.
机译:提出了粗糙集来处理信息系统中知识的模糊性和不完整性。该领域存在许多优化问题,例如属性约简。从矩阵归纳的拟阵被广泛用于优化问题。因此,有必要将拟阵与粗糙集连接起来。在本文中,我们考虑了领域并介绍了矩阵,以通过矢量拟阵来研究粗糙集。首先,提出了一个表示等价关系的矩阵,然后通过该矩阵给出了一个粗糙集的拟阵结构。其次,通过矩阵零空间研究拟阵结构的电路。第三,在一个二进制字段上,我们从矩阵零空间构造一个等价关系,发现一个等价关系族和一个族集,其中任何成员都是作为成员支持的最小非空集的集合二元依赖矩阵零空间的等值同构。简而言之,矩阵为研究粗糙集提供了有趣的观点。

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