Incremental induction of fuzzy classification rules

Authors: Bouchachia, A.

Journal: 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings

Pages: 32-39

DOI: 10.1109/ESDIS.2009.4938996

Abstract:

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.

Source: Scopus

Preferred by: Hamid Bouchachia

Incremental Induction of Fuzzy Classification Rules

Authors: Bouchachia, A.

Journal: 2009 IEEE WORKSHOP ON EVOLVING AND SELF-DEVELOPING INTELLIGENT SYSTEMS

Pages: 32-39

ISBN: 978-1-4244-2754-3

DOI: 10.1109/ESDIS.2009.4938996

Source: Web of Science (Lite)