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Research Article
Toward a framework for the specification of hybrid fuzzy modeling
Article first published online: 21 DEC 2004
DOI: 10.1002/int.20064
Copyright © 2005 Wiley Periodicals, Inc.
Issue
1098-111X/asset/cover.gif?v=1&s=7f7c12f2c86265974044b2b3f9936860ffc468a0 "International Journal of Intelligent Systems")
International Journal of Intelligent Systems
Special Issue: Soft Computing for Modeling, Simulation, and Control of Nonlinear Dynamical Systems
Volume 20, Issue 2, pages 225–252, February 2005
Additional Information
How to Cite
Valdés, M., Gómez-Skarmeta, A. F. and Botía, J. A. (2005), Toward a framework for the specification of hybrid fuzzy modeling. International Journal of Intelligent Systems, 20: 225–252. doi: 10.1002/int.20064
Publication History
- Issue published online: 21 DEC 2004
- Article first published online: 21 DEC 2004
- Abstract
- References
- Cited By
Abstract
During the few last years, several successful approaches for the integration of soft computing techniques have been proposed in the area of data-driven fuzzy modeling (DDFM). However, there is a lack of methodological and general purpose hybridization in an easy and unified manner. This work outlines the design of a new DDFM framework called METHOD, offering the functionalities needed to combine techniques into hybrid strategies for DDFM tasks. Bearing in mind our main goal, a previous analysis of several existing DDFM techniques helps us: (1) to identify the most usual interaction schemes, by means of which methods are combined into DDFM hybrid strategies; (2) to exemplify requirements and effects for different techniques determining suitable combinations; and (3) to establish the universe of discourse based on which of these requirements and effect are defined. All these ideas are illustrated with examples. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 225–252, 2005.