Attribute and size reduction mechanisms in multi-adjoint concept lattices

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• 作者：M. Eugenia Cornejo^a ; ^{mariaeugenia.cornejo@uca.es} ; Jesú ; s Medina^b ; ^{jesus.medina@uca.es} ; Eloí ; sa Ramí ; rez-Poussa^b ; ^{eloisa.ramirez@uca.es}
• 关键词：Fuzzy sets ; Formal concept analysis ; Concept lattice reduction
• 刊名：Journal of Computational and Applied Mathematics
• 出版年：2017
• 出版时间：July 2017
• 年：2017
• 卷：318
• 期：Complete
• 页码：388-402
• 全文大小：554 K
• 卷排序：318

文摘

Attribute reduction and size reduction in concept lattices are key research topics in Formal Concept Analysis (FCA). This paper combines both strategies in the multi-adjoint concept lattice framework in order to simplify the information provided by the original context. Specifically, we present three procedures which merge the attribute reduction and the size reduction by means of an irreducible αα-cut concept lattice, analyzing the obtained properties.