Fuzzy classifier design using genetic algorithms

DOI10.1016/J.PATCOG.2007.03.028zbMath1122.68577OpenAlexW2038960373MaRDI QIDQ996420

Enwang Zhou, Alireza Khotanzad

Publication date: 14 September 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.03.028

zbMATH Keywords

pattern classificationgenetic algorithmsfuzzy classifierfuzzy rule extractionoptimization of fuzzy parameters

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

FEATURE SELECTION AND GRANULARITY LEARNING IN GENETIC FUZZY RULE-BASED CLASSIFICATION SYSTEMS FOR HIGHLY IMBALANCED DATA-SETS ⋮ Variable coded hierarchical fuzzy classification model using DNA coding and evolutionary programming ⋮ FuzzyFeatureRank. Bringing order into fuzzy classifiers through fuzzy expressions

Uses Software

• UCI-ml

Cites Work

• An experiment in linguistic synthesis with a fuzzy logic controller
• Neural-network-based fuzzy logic control and decision system
• Fuzzy sets
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