A fuzzy classifier using genetic algorithms for biological data

被引：5

作者：

Diederich, J ^{[1
]}

Fortuner, R ^{[1
]}

机构：

[1] Univ Calif Davis, Dept Math, Davis, CA 95616 USA

来源：

18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS | 1999年

关键词：

D O I：

10.1109/NAFIPS.1999.781780

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a fuzzy classifier that generates fuzzy if-then rules from numerical data for multi-dimensional classification problems using genetic algorithms with rejection of low confidence patterns.

引用

页码：680 / 684

页数：5

共 6 条

[1]

DIEDERICH J, 1998, CLASSIFICATION USING, P1429

[2]

FORTUNER R, 1987, VARIABILITE IDENTIFI

[3] DISTRIBUTED REPRESENTATION OF FUZZY RULES AND ITS APPLICATION TO PATTERN-CLASSIFICATION [J].

ISHIBUCHI, H ;

NOZAKI, K ;

TANAKA, H .

FUZZY SETS AND SYSTEMS, 1992, 52 (01) :21-32

[4]

ISHIBUCHI H, P FUZZ IEEE ANCH, P1452

[5] Adaptive fuzzy rule-based classification systems [J].

Nozaki, K ;

Ishibuchi, H ;

Tanaka, H .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1996, 4 (03) :238-250

[6]

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