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On the topological structure of granular reducts with covering rough sets

机译:具有覆盖粗糙集的粒状还原的拓扑结构

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Covering generalized rough set is a substantial extension to the traditional rough set. Coverings are naturally relevant to topologies. Reduction is one of the most important issues in covering rough set theory. Therefore, there is an endogenous relation between reducts of a covering and topologies. With both theoretical and practical significance, exploring the topological interdependency between coverings and its granular reducts raises the application of topological methods in data mining. In this study we find that the N-reducts of a covering are the minimal subbases of the induced topology. The correlations suggest several simplified granular reduction algorithms in covering rough sets.
机译:覆盖广义粗糙集是对传统粗糙集的实质性扩展。覆盖范围自然与拓扑相关。约简是涵盖粗糙集理论的最重要问题之一。因此,覆盖率的减少与拓扑之间存在内生关系。具有理论和实践意义,探索覆盖物及其颗粒还原之间的拓扑相互依赖性,提高了拓扑方法在数据挖掘中的应用。在这项研究中,我们发现覆盖物的N还原是诱导拓扑的最小子碱基。相关性建议了几种简化的粗化约简算法来覆盖粗糙集。

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