Incremental Induction of Fuzzy Classification Rules

被引：12

作者：

Bouchachia, Abdelhamid ^{[1
]}

机构：

[1] Univ Klagenfurt, Dept Informat, Klagenfurt, Austria

来源：

2009 IEEE WORKSHOP ON EVOLVING AND SELF-DEVELOPING INTELLIGENT SYSTEMS | 2009年

关键词：

MECHANISMS;

D O I：

10.1109/ESDIS.2009.4938996

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The present paper presents an incremental fuzzy rule based system for classification purposes. Relying on fuzzy min-max neural networks, the present paper shows how fuzzy rules can be continuously online generated to meet the requirements of non-stationary dynamic environments. Simulation results are reported to show the effectiveness of the proposed approach.

引用

页码：32 / 39

页数：8

共 29 条

[1] Evolving fuzzy classifiers using different model architectures [J].

Angelov, P. ;

Lughofer, E. ;

Zhou, X. .

FUZZY SETS AND SYSTEMS, 2008, 159 (23) :3160-3182

[2] An approach for fuzzy rule-base adaptation using on-line clustering [J].

Angelov, P .

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2004, 35 (03) :275-289

[3]

[Anonymous], P 10 C INF PROC MAN

[4]

[Anonymous], 2004, COMPUTER SCI

[5]

[Anonymous], P INT WORKSH SOFT CO

[6]

[Anonymous], 1995, CONNECT SCI, DOI DOI 10.1080/09540099550039264

[7]

BOUCHACHIA A, 2008, ENCY DATA W IN PRESS

[8]

Bouchachia A, 2007, IEEE INT CONF FUZZY, P1811

[9]

Bouchachia A, 2006, ICMLA 2006: 5TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS, P63

[10] Towards incremental fuzzy classifiers [J].

Bouchachia, Abdelhamid ;

Mittermeir, Roland .

SOFT COMPUTING, 2007, 11 (02) :193-207

← 1 2 3 →