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Reducible matroid and its relationship with covering-based rough sets

机译:可还原拟阵及其与基于覆盖的粗糙集的关系

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Covering is an important form to organize data. Covering-based rough set theory provides a systematic approach to deal with this form of data. A matroid is a generalization of linear independence in vector space. This paper connects matroid theory with covering-based rough sets from the reducible point of view. Firstly, similar to the definition of reducible elements in covering-based rough sets, we define reducible matroids in matroid theory to remove redundant matroids. Secondly, we establish a matroidal structure of covering-based rough sets. Specifically, we propose an approach to induce a matroid by subset of a covering. Therefore a matroid family can be induced by all subsets of a covering. The subset having only one element induces a 1-rank matroid. Each matroid in this family can be expressed as a union of some 1-rank matroids induced by elements of covering. We show that the reduct of the matroid family is equal to the family of these 1-rank matroids. Finally, the reducible element, neighborhood, minimal description and approximations in covering-based rough sets can be represented by closure operators of these 1-rank matroids.
机译:覆盖是组织数据的重要形式。基于覆盖的粗糙集理论提供了一种系统的方法来处理这种形式的数据。拟阵是向量空间中线性独立性的一般化。从可还原的角度出发,本文将拟阵理论与基于覆盖的粗糙集联系起来。首先,类似于基于覆盖的粗糙集中可还原元素的定义,我们在拟阵理论中定义了可还原拟阵,以删除多余的拟阵。其次,我们建立了一个基于覆盖的粗糙集的拟阵结构。具体来说,我们提出了一种通过覆盖物的子集来诱导拟阵的方法。因此,类人动物家族可以被覆盖物的所有子集所诱导。仅具有一个元素的子集诱发一个1级拟阵。该族中的每个拟阵都可以表示为由覆盖元素引起的一些1级拟阵的联合。我们显示拟阵的还原度等于这些1级拟阵的还原度。最后,基于覆盖的粗糙集的可约简元素,邻域,最小描述和近似值可以由这些1级拟阵的闭合算子表示。

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