Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization
type: Item
instance of: scholarly article
title: Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization
zbMATH Open document ID: 1186.68409
author: Sylvie Galichet
author: N. F. F. Ebecken
author: Alexandre Gonçalves Evsukoff
author: B. S. L. P. de Lima
published in: Fuzzy Sets and Systems
publication date: 2009-11-17T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62-07
zbMATH DE Number: 5634414
zbMATH Keywords: fuzzy system models
zbMATH Keywords: linguistic modeling
zbMATH Keywords: pattern recognition
zbMATH Keywords: genetic algorithms
zbMATH Keywords: learning
zbMATH Keywords: fuzzy statistics and data analysis
describes a project that uses: Matlab
describes a project that uses: GAToolBox
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.fss.2008.08.010
OpenAlex ID: W2069997509
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DOI: 10.1016/J.FSS.2008.08.010
description: scientific article; zbMATH DE number 5634414