Improving expressivity of inductive logic programming by learning different kinds of fuzzy rules

DOI10.1007/s00500-006-0109-zzbMath1115.68133OpenAlexW2096445463MaRDI QIDQ882801

Mathieu Serrurier, Henri Prade

Publication date: 24 May 2007

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-006-0109-z

zbMATH Keywords

Inductive logic programmingFuzzy rules

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Logic programming (68N17)

Related Items (1)

Fuzzy OWL-Boost: learning fuzzy concept inclusions via real-valued boosting

Uses Software

• C4.5

Cites Work

• An analysis of first-order logics of probability
• What are fuzzy rules and how to use them
• Foundations of inductive logic programming
• FS-FOIL: An inductive learning method for extracting interpretable fuzzy descriptions
• Fuzzy cardinality based evaluation of quantified sentences
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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