Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems
type: Item
instance of: scholarly article
title: Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems
zbMATH Open document ID: 0965.93045
DOI: 10.1016/S0165-0114(98)00174-2
author: Witold Pedrycz
author: Sung-Kwun Oh
published in: Fuzzy Sets and Systems
publication date: 2001-08-02T00:00:00Z
review text: The study concerns a design procedure of rule-based systems. Two types of methods for rule-based fuzzy modeling are considered. This classification concerns the form of the conclusion part of the rules that can be either constant or formed by some linear functions. Both triangular and Gaussian-like membership functions are studied. The optimization hinges on an auto-tuning algorithm that covers a modified constrained optimization method known as a complex method. Several numerical examples are given. It would be interesting to use the global optimization method (Alienor) based on \(\alpha\)-dense curves in \(\mathbb{R}^n\).
reviewed by: Yves Cherruault
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93C42
zbMATH DE Number: 1545742
zbMATH Keywords: fuzzy model identification
zbMATH Keywords: design
zbMATH Keywords: rule-based systems
zbMATH Keywords: fuzzy modeling
zbMATH Keywords: triangular and Gaussian-like membership functions
zbMATH Keywords: auto-tuning
MaRDI profile type: Publication
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full work available at URL: s0165-0114(98)00174-2
OpenAlex ID: W2031470529
Wikidata QID: Q127254640
description: scientific article; zbMATH DE number 1545742