Boosting fuzzy rules in classification problems under single-winner inference

DOI10.1002/int.20236zbMath1128.68103OpenAlexW2096220242MaRDI QIDQ5435443

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Publication date: 14 January 2008

Published in: International Journal of Intelligent Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/int.20236

zbMATH Keywords

genetic algorithmAdaboost

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Fuzzy OWL-Boost: learning fuzzy concept inclusions via real-valued boosting ⋮ Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms

Uses Software

• UCI-ml

Cites Work

• Fuzzy classifier design
• Unnamed Item

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