A new method to deal with fuzzy classification problems by tuning membership functions for fuzzy classification systems

Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an

Volumn 28, Issue 1, 2005, Pages 169-173

  Chen, Shyi Ming ^a   Fang, Yao De ^a  

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

Author keywords

Average classification accuracy rate; Fuzzy classification rules; Iris data; Maximum attribute value; Membership functions; Minimum attribute value

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; FUNCTIONS; MEMBERSHIP FUNCTIONS; PERSONNEL TRAINING; SET THEORY;

AVERAGE CLASSIFICATION ACCURACY RATES; FUZZY CLASSIFICATION RULES; IRIS DATA; MAXIMUM ATTRIBUTE VALUE; MINIMUM ATTRIBUTE VALUE;

FUZZY SETS;

EID: 12844254375     PISSN: 02533839     EISSN: 21587299     Source Type: Journal    
DOI: 10.1080/02533839.2005.9670983     Document Type: Article

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