Multivariable Gaussian Evolving Fuzzy Modeling System

This paper introduces a class of evolving fuzzy rule-based system as an approach for multivariable Gaussian adaptive fuzzy modeling. The system is an evolving Takagi-Sugeno (eTS) functional fuzzy model, whose rule base can be continuously updated using a new recursive clustering algorithm based on p...

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Bibliographic Details
Published in:	IEEE transactions on fuzzy systems Vol. 19; no. 1; pp. 91 - 104
Main Authors:	Lemos, A, Caminhas, W, Gomide, F
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2011 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation model Adaptive fuzzy rule-based modeling Adaptive systems Algorithms Clustering algorithms Current measurement Dispersion evolving fuzzy systems (eFS) Fuzzy Fuzzy logic Fuzzy set theory Fuzzy sets Gaussian Indexes Input variables Mathematical models Multivariable participatory learning (PL) Studies
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
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