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Cuts or thresholds, what is the best reduction method in fuzzy formal concept analysis?

机译:削减或阈值,在模糊形式概念分析中最好的减少方法是什么?

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Recently α-cut irreducible and δδ-multi-adjoint concept lattices have been introduced as two different methodologies focus on reducing the size of a given fuzzy concept lattice. The philosophy of both methodologies is completely different and so, the obtained lattices too. This paper analyzes the differences and proposes that the best is to combine both methodologies in order to obtain new procedures to reduce the information retrieval, only considering the important information for the user and with the advantages of both philosophies.
机译:最近,由于两种不同的方法侧重于减小给定模糊概念格的大小,引入了α割不可约和δδ多伴随概念格。两种方法的原理完全不同,因此,获得的晶格也完全不同。本文分析了两者之间的差异,并提出最好的方法是将两种方法结合起来,以获得新的程序来减少信息检索,仅考虑对用户而言重要的信息,并考虑两种方法的优势。

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