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A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice

机译:基于面向对象概念格的新型属性还原方法

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Attribute reduction is one basic issue in the analysis of information tables. In this paper, the approaches to attribute reduction in formal context based on the object oriented concept lattice are investigated. We first introduce the notions of context matrix and the operations of corresponding column vectors. Then present some judgment theorems for attribute reduction in formal contexts. Based on the judgment theorems, we propose an attribute reduction approach and show concrete reduction algorithm.
机译:属性减少是信息表分析中的一个基本问题。本文研究了基于面向对象的概念格子的形式上下文的归因于正式上下文的方法。我们首先介绍上下文矩阵的概念和相应的列向量的操作。然后在形式上下文中展示一些判断定理以减少属性。基于判断定理,我们提出了一种属性还原方法并显示了具体的还原算法。

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