Decision tree learning with fuzzy labels

DOI10.1016/J.INS.2004.12.005zbMath1087.68094OpenAlexW2078988440MaRDI QIDQ2568253

Jonathan Lawry, Zengchang Qin

Publication date: 10 October 2005

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2004.12.005

zbMATH Keywords

Random setTransparencyLabel semanticsLID3Linguistic constraintLinguistic decision treeMass assignment

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (11)

LFOIL: linguistic rule induction in the label semantics framework ⋮ Reformulation of the theory of conceptual spaces ⋮ A prototype-based rule inference system incorporating linear functions ⋮ Hybrid clustering of data and vague concepts based on labels semantics ⋮ Likelihood-fuzzy analysis: from data, through statistics, to interpretable fuzzy classifiers ⋮ Induction of multiple fuzzy decision trees based on rough set technique ⋮ Linguistic modelling and information coarsening based on prototype theory and label semantics ⋮ Correlation based splitting criterionin multi branch decision tree ⋮ Information cells and information cell mixture models for concept modelling ⋮ MULTI-ATTRIBUTE DECISION MAKING BASED ON LABEL SEMANTICS ⋮ Semantic distance between vague concepts in a framework of modeling with words

Uses Software

• UCI-ml
• C4.5
• FRIL

Cites Work

• A framework for linguistic modelling
• Tree induction for probability-based ranking
• A voting mechanism for fuzzy logic
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