Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining.
type: Item
instance of: scholarly article
title: Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining.
zbMATH Open document ID: 1081.68091
DOI: 10.1016/S0165-0114(03)00114-3
author: Hisao Ishibuchi
author: Takashi Yamamoto
published in: Fuzzy Sets and Systems
publication date: 2004-05-27T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T20
Mathematics Subject Classification ID: 68P15
zbMATH DE Number: 2067575
zbMATH Keywords: Data mining
zbMATH Keywords: Pattern classification
zbMATH Keywords: Fuzzy rule selection
zbMATH Keywords: Evolutionary multi-criteria optimization
zbMATH Keywords: Hybrid genetic algorithms
describes a project that uses: C4.5
MaRDI profile type: Publication
cites work: Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
cites work: Use of a fuzzy machine learning technique in the knowledge acquisition process
cites work: Three-objective genetics-based machine learning for linguistic rule extraction
cites work: Genetic local search for multi-objective combinatorial optimization
cites work: Fuzzy classifier design
cites work: Q4505035
full work available at URL: s0165-0114(03)00114-3
OpenAlex ID: W2109518982
description: scientific article; zbMATH DE number 2067575