Design of fuzzy classification system using genetic algorithms

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/38700

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题名:	Design of fuzzy classification system using genetic algorithms
作者:	Wong, Ching-chang;Chen, Chia-chong;Lin, Bo-chen
贡献者:	淡江大學電機工程學系
日期:	2000-05-07
上传时间:	2010-04-15 11:37:20 (UTC+8)
出版者:	Institute of Electrical and Electronics Engineers (IEEE)
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
關聯:	Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on vol.1, pp.297-301
DOI:	10.1109/FUZZY.2000.838675
显示于类别:	[電機工程學系暨研究所] 會議論文

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