Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
type: Item
instance of: scholarly article
title: Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
zbMATH Open document ID: 1109.68090
author: J. Gonzalez
author: I. Rojas
author: H. Pomares
author: Luis J. Herrera
author: Alberto Guillén
author: José M. Palomares
author: Fernando Rojas
published in: International Journal of Approximate Reasoning
publication date: 2007-02-19T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T37
Mathematics Subject Classification ID: 68T20
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 5128179
zbMATH Keywords: function approximation
zbMATH Keywords: fuzzy systems
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: evolutionary algorithms
MaRDI profile type: Publication
full work available at URL: j.ijar.2006.02.006
OpenAlex ID: W1982701576
cites work: Q5687948
cites work: Accuracy improvements in linguistic fuzzy modeling
cites work: Evolutionary Algorithms for Aerofoil Design
cites work: Q4403756
cites work: Q4692508
cites work: Q4079017
cites work: Q4436935
cites work: Oscillation and Chaos in Physiological Control Systems
cites work: Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction
DOI: 10.1016/J.IJAR.2006.02.006
description: scientific article; zbMATH DE number 5128179