A fast genetic method for inducting descriptive fuzzy models.

DOI10.1016/S0165-0114(03)00112-XzbMath1081.68086OpenAlexW2014320995MaRDI QIDQ1430850

D. Massart

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)00112-x

zbMATH Keywords

BackfittingBoosting algorithmsDescriptive fuzzy modelsGenetic fuzzy systemsMatching pursuit

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms ⋮ Genetic learning of fuzzy rules based on low quality data

Cites Work

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• Some relationships between fuzzy and random set-based classifiers and models
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Matching pursuits with time-frequency dictionaries
• Kernel matching pursuit

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