Design of fuzzy classification system using genetic algorithms
學年 88
學期 2
發表日期 2000-05-07
作品名稱 Design of fuzzy classification system using genetic algorithms
作品名稱（其他語言）
著者 Wong, Ching-chang; Chen, Chia-chong; Lin, Bo-chen
作品所屬單位 淡江大學電機工程學系
出版者 Institute of Electrical and Electronics Engineers (IEEE)
會議名稱 Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
會議地點 San Antonio, TX, USA
摘要 This paper proposes a GA-based method to construct an appropriate fuzzy classification system to maximize the number of correctly classified patterns and minimize the number of fuzzy rules. In this method, a fuzzy classification system is coded as an individual in the GA. A fitness function is defined such that it can guide the search procedure to select an appropriate fuzzy classification system to maximize the number of correctly classified patterns and minimize the number of fuzzy rules. Finally, a two-class classification problem is utilized to illustrate the efficiency of the proposed method
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20000507~20000510
通訊作者
國別 USA
公開徵稿 Y
出版型式
出處 Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on vol.1, pp.297-301
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