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Towards attribute reduction in object-oriented concept lattices

机译:面向对象的概念格中的属性约简

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Attribute reduction is an important issue in different frameworks. Formal concept analysis (FCA) and object-oriented concept lattices (which is a generalization of rough sets) have been related in different papers. This contribution studies the attribute reduction in object-oriented concept lattices from the one recently given in FCA. As a consequence, we have proven that the study of the classification of the attributes in absolutely necessary, relatively necessary and unnecessary attributes is equivalent in both frameworks. An illustrative example has also been introduced.
机译:属性减少是不同框架中的重要问题。形式概念分析(FCA)和面向对象的概念格(这是粗糙集的泛化)在不同的论文中都有关联。该贡献从FCA最近给出的那篇文章研究了面向对象的概念格的属性约简。结果,我们证明了在两个框架中,对于绝对必要,相对必要和不必要的属性分类的研究都是等效的。还介绍了说明性示例。

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