Non-dominated multi-objective evolutionary algorithm based on fuzzy rules extraction for subgroup discovery

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5572 LNAI, Issue , 2009, Pages 573-580

  Carmona, C J ^a   Gonzalez P ^a   Del Jesus, M J ^a   Herrera, F ^b  

^a UNIVERSITY OF JAÉN   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Data mining; Fuzzy Rules; Genetic Fuzzy Systems; Multi Objective Evolutionary Algorithms; Subgroup Discovery

Indexed keywords

DIFFERENT MECHANISMS; EVOLUTIONARY MODELS; GENETIC FUZZY SYSTEMS; INTERPRETABLE FUZZY RULES; MULTI OBJECTIVE; MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; SUBGROUP DISCOVERY;

ARTIFICIAL INTELLIGENCE; FUZZY LOGIC; FUZZY RULES; FUZZY SYSTEMS; MULTIOBJECTIVE OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 70350650187     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02319-4_69     Document Type: Conference Paper

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