Hybridization of fuzzy GBML approaches for pattern classification problems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 2, 2005, Pages 359-365

  Ishibuchi, Hisao ^a   Yamamoto, Takashi ^a   Nakashima, Tomoharu ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

Fuzzy rules; Genetic algorithms; Machine learning; Pattern classification

Indexed keywords

COMPUTATIONAL COMPLEXITY; FUZZY SETS; GENETIC ALGORITHMS; HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; PROBABILITY; SYSTEMS ANALYSIS;

FUZZY GENETICS BASED MACHINE LEARNING; FUZZY RULE BASED CLASSIFICATION SYSTEMS; HEURISTIC MUTATION; HYBRID ALGORITHM; PATTERN CLASSIFICATION PROBLEMS;

PATTERN RECOGNITION;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; EVALUATION; FUZZY LOGIC; INFORMATION RETRIEVAL; LETTER; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; FUZZY LOGIC; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 17444427096     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.842257     Document Type: Article

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