Paper Info
Title
Toward A Framework For The Specification Of Hybrid Fuzzy Modeling
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. (C) 2005 Wiley Periodicals, Inc.
Year
DOI
Venue
2005
10.1002/int.20064
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
DocType
Volume
Issue
Journal
20
2
ISSN
Citations 
PageRank 
0884-8173
4
0.58
References 
Authors
16
3
Name
Order
Citations
PageRank
Mercedes Valdés1405.38
Antonio F. Gómez-Skarmeta273493.79
Juan A. Botía337035.47