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Updating reducts in fuzzy beta-covering viamatrix approaches while coarsening and refining a covering element

机译:更新模糊Beta覆盖ViaMatrix方法的减排,同时粗化和精炼覆盖元件

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摘要

In a dynamic environment, knowledge reduction of information systems with variations of object sets, attribute sets and attribute values is an important topic, and related covering reduction of dynamic fuzzy beta-covering approximation space when coarsening and refining a covering element has attracted little attention. How to update the reducts based on the original information is an important problem since it can help to improve the efficiency of knowledge discovery. This paper provides the definitions of the coarsening and refinement of a covering element in the dynamic fuzzy beta-covering approximation space. Then approaches for updating the reducts by the relation character matrix are discussed when coarsening and refining a covering element. And the corresponding algorithms for computing new reducts are derived. Finally, several examples were given to illustrate the validity of the proposed approaches.
机译:在动态环境中,具有对象集的变型的信息系统的知识减少,属性集和属性值是一个重要的主题,并且在粗化和精炼覆盖元件时覆盖动态模糊β覆盖近似空间的覆盖减少了。 如何根据原始信息更新减序是一个重要问题,因为它可以有助于提高知识发现的效率。 本文提供了动态模糊β覆盖近似空间中覆盖元件的粗化和改进的定义。 然后在粗化和精制覆盖元件时讨论用于更新关系字符矩阵的变化的方法。 派生用于计算新旧化的相应算法。 最后,给出了几个例子来说明所提出的方法的有效性。

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