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Knowledge Reduction in Formal Contexts Based on Covering Rough Sets

机译:基于覆盖粗糙集的形式上下文知识约简

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摘要

Rough set theory and formal concept analysis arc two approaches for data analysis related to each other, formal contexts are their common framework. In this paper, by investigating relationship between covering rough set and concept lattice, we study attribute reduction of formal context. Judgement theorems of consistent attribute sets and reduct attribute sets are given.
机译:粗糙集理论和形式概念分析是相互关联的两种数据分析方法,形式上下文是它们的通用框架。本文通过研究粗糙集与概念格之间的关系,研究形式语境的属性约简。给出了一致属性集和归约属性集的判断定理。

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