A STUDY ABOUT THE INCLUSION OF LINGUISTIC HEDGES IN A FUZZY RULE LEARNING ALGORITHM

DOI10.1142/S0218488599000192zbMath1087.68615OpenAlexW2067259407MaRDI QIDQ5469453

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Publication date: 19 May 2006

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488599000192

zbMATH Keywords

Genetic AlgorithmsFuzzy RulesLinguistic Hedges

Mathematics Subject Classification ID

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

Related Items (4)

A MULTI-OBJECTIVE GENETIC ALGORITHM FOR TUNING AND RULE SELECTION TO OBTAIN ACCURATE AND COMPACT LINGUISTIC FUZZY RULE-BASED SYSTEMS ⋮ Linguistic modeling with hierarchical systems of weighted linguistic rules ⋮ Fuzzy Modifiers at the Core of Interpretable Fuzzy Systems ⋮ Genetic learning of the membership functions for mining fuzzy association rules from low quality data

Cites Work

• A fuzzy logic controller with learning through the evolution of its knowledge base
• Adapting the gain of an FLC with genetic algorithms
• A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples.
• The concept of a linguistic variable and its application to approximate reasoning. I

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