Multi-objective design of highly interpretable fuzzy rule-based classifiers with semantic cointension

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 1-8

  Cannone, R ^a   Alonso, J M ^b   Magdalena, L ^b  

^a UNIVERSITY OF BARI   (Italy)

^b EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BENCH-MARK PROBLEMS; COGNITIVE ASPECTS; DESIGN PROCESS; EVOLUTIONARY FRAMEWORK; FUZZY MODELING; FUZZY RULE-BASED CLASSIFIER; FUZZY RULE-BASED SYSTEMS; INTERPRETABILITY; LINGUISTIC KNOWLEDGE; MULTI-OBJECTIVE DESIGN; NSGA-II;

ARTIFICIAL INTELLIGENCE; DIAGNOSIS; FUZZY RULES; FUZZY SYSTEMS; SEMANTICS;

KNOWLEDGE BASED SYSTEMS;

EID: 79961242553     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GEFS.2011.5949502     Document Type: Conference Paper

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