Combining boosting and evolutionary algorithms for learning of fuzzy classification rules.

DOI10.1016/S0165-0114(03)00113-1zbMath1081.68084OpenAlexW2006566264MaRDI QIDQ1430851

Frank Hoffmann

Publication date: 27 May 2004

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(03)00113-1

zbMATH Keywords

Evolutionary algorithmsFuzzy classification rules

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Fuzzy rule-based classification system for assessing coronary artery disease ⋮ A multilayered neuro-fuzzy classifier with self-organizing properties ⋮ Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms ⋮ Boosting of granular models ⋮ Credit risk prediction using fuzzy immune learning ⋮ SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion

Uses Software

• UCI-ml

Cites Work

• Genetic Fuzzy Systems
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