A fuzzy classifier system based on generalized exemplars

被引:0
作者
Lisboa, FOSS [1 ]
Nicoletti, MD [1 ]
Ramer, A [1 ]
机构
[1] USP, IFSC, BR-13560970 Sao Carlos, SP, Brazil
来源
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE | 2001年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes the main ideas used in the development of a fuzzy classifier system which induces fuzzy hypotheses from a set of examples described by fuzzy real numbers and an associated crisp class. It presents and discusses some results obtained using a prototype system.
引用
收藏
页码:73 / 76
页数:4
相关论文
共 6 条
[1]   NEAREST NEIGHBOR PATTERN CLASSIFICATION [J].
COVER, TM ;
HART, PE .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1967, 13 (01) :21-+
[2]   CONTEXT THEORY OF CLASSIFICATION LEARNING [J].
MEDIN, DL ;
SCHAFFER, MM .
PSYCHOLOGICAL REVIEW, 1978, 85 (03) :207-238
[3]  
Merz C. J., 1998, THESIS U CALIFORNIA
[4]  
NICOLETTI MC, 1996, P EUR WORKSH FUZZ DE, P140
[5]   Advances in fuzzy theory [J].
Sadegh-Zadeh, K .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 1999, 15 (03) :309-323
[6]  
SALZBERG S, 1991, MACH LEARN, V6, P252