A framework for designing a fuzzy rule-based classifier

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

Volumn 5783 LNAI, Issue , 2009, Pages 434-445

  Guzaitis, Jonas ^a   Verikas, Antanas ^a,b   Gelzinis, Adas ^a   Bacauskiene, Marija ^a  

^a KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

^b HALMSTAD UNIVERSITY   (Sweden)

Author keywords

Classifier; Fuzzy rule; Genetic algorithm; Knowledge extraction; Variable selection

Indexed keywords

CLASSIFICATION ACCURACY; FUZZY RULE-BASED CLASSIFIER; GENETIC SEARCH; INPUT VARIABLES; KNOWLEDGE EXTRACTION; REAL-WORLD PROBLEM; TREE ALGORITHMS; TWO STAGE; VARIABLE SELECTION;

ALGORITHMS; CLASSIFIERS; FUZZY RULES; GAME THEORY; LEARNING SYSTEMS; SIMULATORS;

DECISION THEORY;

EID: 71549144115     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04428-1_38     Document Type: Conference Paper

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