Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems
type: Item
instance of: scholarly article
title: Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems
zbMATH Open document ID: 0942.68110
DOI: 10.1016/S0165-0114(97)00105-X
published in: Fuzzy Sets and Systems
publication date: 2000-08-23T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T35
Mathematics Subject Classification ID: 03B52
zbMATH DE Number: 1340701
zbMATH Keywords: machine learning
zbMATH Keywords: classification problems
author: J. L. Castro
author: J. J. Castro-Schez
author: J. M. Zurita
MaRDI profile type: Publication
cites work: Q3327527
cites work: Learning rules for a fuzzy inference model
cites work: Learning maximal structure fuzzy rules with exceptions
cites work: Automatic learning of fuzzy naming relations over finite languages
cites work: A learning methodology in uncertain and imprecise environments
cites work: Successive identification of a fuzzy model and its applications to prediction of a complex system
full work available at URL: s0165-0114(97)00105-x
OpenAlex ID: W1993628150
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description: scientific article; zbMATH DE number 1340701