Generating weighted fuzzy rules from training instances using genetic algorithms to handle the iris data classification problem

Journal of Information Science and Engineering

Volumn 22, Issue 1, 2006, Pages 175-188

  Chen, Shyi Ming ^a,b,c,d,e,f   Lin, Hao Lin ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b Taiwanese Association for Artificial Intelligence (TAAI)   (Taiwan)

^c IEEE   (Taiwan)

^d ACM   (Taiwan)

^e International Fuzzy Systems Association (IFSA)   (Taiwan)

^f Phi Tau Phi Scholastic Honor Society   (Taiwan)

Author keywords

Average classification accuracy rate; Fuzzy rules; Genetic algorithms; Iris data; Weighted fuzzy rules

Indexed keywords

FUZZY RULES; IRIS DATA; WEIGHTED FUZZY RULES;

DATA ACQUISITION; GENETIC ALGORITHMS; PERSONNEL TRAINING;

FUZZY SETS;

EID: 31344480016     PISSN: 10162364     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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