Abstract On attribute reduction in concept lattices: Methods based on discernibility matrix are outperformed by basic clarification and reduction
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On attribute reduction in concept lattices: Methods based on discernibility matrix are outperformed by basic clarification and reduction

机译:关于概念格的属性减少:基于可辨识矩阵的方法通过基本澄清和减少来表现优势

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摘要

AbstractSeveral recent papers have studied the problem of attribute reduction in concept lattices by using a discernibility matrix in various extensions of formal concept analysis. We recall the clarification and reduction method by Ganter & Wille and show that it is strictly superior to the methods based on discernibility matrix. Consequently, we show how to adapt the clarification and reduction method to the extensions of formal concept analysis considered in the recent papers.]]>
机译:<![cdata [ 抽象 几个近几个论文通过在正式概念分析的各种扩展中使用可辨别矩阵研究了概念格子的属性减少问题。 我们回顾了Ganter&Wille的澄清和减少方法,并表明它严格优于基于可辨别矩阵的方法。 因此,我们展示了如何使澄清和减少方法适应近期纸张中考虑的正式概念分析的扩展。 ]]>

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