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Author Elloumi, Samiren_US
Author Jaam, Jihaden_US
Author Hasnah, Ahmaden_US
Author Jaoua, Alien_US
Author Nafkha, Ibtissemen_US
Available date 2009-12-30T07:40:05Zen_US
Publication Date 2003-06-20en_US
Publication Name Information Sciences
Citation Samir Elloumi, Jihad Jaam, Ahmed Hasnah, Ali Jaoua, Ibtissem Nafkha, A multi-level conceptual data reduction approach based on the Lukasiewicz implication, Information Sciences, Volume 163, Issue 4, 18 June 2004, Pages 253-262en_US
Abstract Starting from fuzzy binary data represented as tables in the fuzzy relational database, in this paper, we use fuzzy formal concept analysis to reduce the tables size to only keep the minimal rows in each table, without losing knowledge (i.e., association rules extracted from reduced databases are identical at given precision level). More specifically, we develop a fuzzy extension of a previously proposed algorithm for crisp data reduction without loss of knowledge. The fuzzy Galois connection based on the Lukasiewicz implication is mainly used in the definition of the closure operator according to a precision level, which makes data reduction sensitive to the variation of this precision level.en_US
Language enen_US
Publisher Elsevier Science Incen_US
Subject Fuzzy data reductionen_US
Subject Lukasiewicz implicationen_US
Subject Fuzzy Galois connectionen_US
Subject Precision levelen_US
Title A multi-level conceptual data reduction approach based on the Lukasiewicz implicationen_US
Type Articleen_US

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