Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection

IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems

Volumn , Issue , 2011, Pages 47-53

  Antonelli, Michela ^a   Ducange, Pietro ^a   Lazzerini, Beatrice ^a   Marcelloni, Francesco ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

accuracy complexity tradeoff; condition selection; multi objective evolutionary fuzzy systems; rule selection

Indexed keywords

ACCURACY-COMPLEXITY TRADEOFF; CONDITION SELECTION; EVOLUTIONARY FUZZY SYSTEMS; EVOLUTIONARY GENERATION; FUZZY RULE-BASED SYSTEMS; INTERPRETABILITY AND ACCURACY; MAMDANI; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; REGRESSION PROBLEM; RULE BASE; RULE SELECTION;

ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; FUZZY RULES; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79961227742     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GEFS.2011.5949489     Document Type: Conference Paper

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