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Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets

机译:基于覆盖的粗糙集对某些图问题的等价刻画

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Covering is a widely used form of data structures. Covering-based rough set theory provides a systematic approach to this data. In this paper, graphs are connected with covering-based rough sets. Specifically, we convert some important concepts in graph theory including vertex covers, independent sets, edge covers, and matchings to ones in covering-based rough sets. At the same time, corresponding problems in graphs are also transformed into ones in covering-based rough sets. For example, finding a minimal edge cover of a graph is translated into finding a minimal general reduct of a covering. The main contributions of this paper are threefold. First, any graph is converted to a covering. Two graphs induce the same covering if and only if they are isomorphic. Second, some new concepts are defined in covering-based rough sets to correspond with ones in graph theory. The upper approximation number is essential to describe these concepts. Finally, from a new viewpoint of covering-based rough sets, the general reduct is defined, and its equivalent characterization for the edge cover is presented. These results show the potential for the connection between covering-based rough sets and graphs.
机译:覆盖是一种广泛使用的数据结构形式。基于覆盖的粗糙集理论为这些数据提供了系统的方法。在本文中,图与基于覆盖的粗集相连。具体来说,我们转换了图论中的一些重要概念,包括顶点覆盖,独立集,边覆盖以及与基于覆盖的粗糙集中的匹配。同时,图中的相应问题也被转换为基于覆盖的粗糙集中的问题。例如,找到图形的最小边覆盖度将转化为找到覆盖的最小一般还原度。本文的主要贡献是三方面的。首先,任何图形都将转换为覆盖图。当且仅当两个图是同构的时,两个图才会引起相同的覆盖。其次,在基于覆盖的粗糙集中定义了一些新概念,以与图论中的概念相对应。高逼近数对于描述这些概念至关重要。最后,从基于覆盖的粗糙集的新观点出发,定义了一般归约法,并给出了其对边缘覆盖的等效刻画。这些结果显示了在基于覆盖的粗糙集和图形之间建立联系的潜力。

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