教師資料查詢 | 類別: 會議論文 | 教師: 翁慶昌 Wong Ching-chang (瀏覽個人網頁)

標題:Design of fuzzy classification system using genetic algorithms
學年
學期
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
語言英文
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
國別美國
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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