Rule learning: Ordinal prediction based on rough sets and soft-computing

DOI10.1016/j.aml.2005.08.004zbMath1138.68495OpenAlexW1966366162MaRDI QIDQ2481430

Nick Cercone, Puntip Pattaraintakorn, Kanlaya Naruedomkul

Publication date: 10 April 2008

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2005.08.004

zbMATH Keywords

rough setsflow graphsrule learningsoft-computing

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of fuzzy sets, etc. (03E72)

Related Items (7)

Fuzzy information systems and their homomorphisms ⋮ Recent fuzzy generalisations of rough sets theory: a systematic review and methodological critique of the literature ⋮ Novel matrix forms of rough set flow graphs with applications to data integration ⋮ Rule learning: Ordinal prediction based on rough sets and soft-computing ⋮ Interpretation of Extended Pawlak Flow Graphs Using Granular Computing ⋮ A foundation of rough sets theoretical and computational hybrid intelligent system for survival analysis ⋮ A note on the roughness measure of fuzzy sets

Cites Work

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• Some remarks on conflict analysis
• Rule learning: Ordinal prediction based on rough sets and soft-computing
• Nonparametric Estimation from Incomplete Observations
• Expressing the Kaplan-Meier Estimator as a Function of Empirical Subsurvival Functions
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
• Rough Sets and Current Trends in Computing

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