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Connectedness of Graph and Matroid by Covering-Based Rough Sets

机译:基于覆盖的粗糙集图与拟阵的连通性

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Covering-based rough sets provide an efficient theory to process information in data mining. Matroid theory is a generalization of both linear algebra and graph theory, and has a variety of applications in many fields, such as covering-based rough sets. In this paper, we study the connectedness of graphs and matroids through covering-based rough sets. First, we present an approach to induce a covering by a graph. Then we use the covering upper approximation operator and the rank of matrix representation of the covering to study the connectedness of the graph. Moreover, we give the expression of the number of the connected components of a graph. Second, we establish a matroid based on the covering induced by a graph and study the connectedness of this matroid.
机译:基于覆盖的粗糙集提供了一种有效的理论来处理数据挖掘中的信息。 Matroid理论是线性代数和图论的综合,在许多领域都有广泛的应用,例如基于覆盖的粗糙集。在本文中,我们通过基于覆盖的粗糙集研究图和拟阵的连通性。首先,我们提出一种通过图来进行覆盖的方法。然后,我们使用覆盖物上近似算子和覆盖物的矩阵表示的秩来研究图的连通性。此外,我们给出了图的连接部分数的表达式。其次,我们基于图形诱导的覆盖范围建立拟阵,并研究该拟阵的连通性。

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