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Not only a fuzzy data mining method is proposed to find simplified fuzzy if-then rules from training data, but also the genetic algorithm is employed to determine some user-specified parameters. To evaluate the classification performance of the proposed method, computer simulations are performed on some well-known datasets, showing that the generalization ability of the proposed method is comparable to the other fuzzy or nonfuzzy methods. <\/jats:p>","DOI":"10.1142\/s021962200900348x","type":"journal-article","created":{"date-parts":[[2009,10,8]],"date-time":"2009-10-08T10:01:28Z","timestamp":1254996088000},"page":"473-489","source":"Crossref","is-referenced-by-count":10,"title":["MINING SIMPLIFIED FUZZY IF-THEN RULES FOR PATTERN CLASSIFICATION"],"prefix":"10.1142","volume":"08","author":[{"given":"YI-CHUNG","family":"HU","sequence":"first","affiliation":[{"name":"Department of Business Administration, Chung Yuan Christian University, Chung-Li, Taiwan, ROC"}]},{"given":"FANG-MEI","family":"TSENG","sequence":"additional","affiliation":[{"name":"Department of International Business, Yuan Ze University, Chung-Li, Taiwan, ROC"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-8352(99)00160-6"},{"key":"rf2","volume-title":"Data Mining Techniques: For Marketing, Sales, and Customer Support","author":"Berry M.","year":"1997"},{"key":"rf3","volume-title":"Data Mining: Concepts and Techniques","author":"Han J. 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