A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets

DOI10.1007/978-3-642-14055-6_78zbMath1209.68491OpenAlexW2120114004MaRDI QIDQ3164067

Francisco Herrera, Pedro Villar, Alberto Fernández

Publication date: 27 October 2010

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-14055-6_78

zbMATH Keywords

genetic algorithmsfeature selectionfuzzy rule-based classification systemsimbalanced data-setsgranularity level

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• UCI-ml
• C4.5
• SMOTE

Cites Work

• Classification and Modeling with Linguistic Information Granules
• Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
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