FUZZY OPERATOR TREES FOR MODELING RATING FUNCTIONS

DOI10.1142/S1469026809002679zbMath1185.68583OpenAlexW1977070745MaRDI QIDQ3401067

Thomas Fober, Yu Yi, Eyke Hüllermeier

Publication date: 28 January 2010

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1469026809002679

zbMATH Keywords

fuzzy logicevolutionary algorithmsmachine learningpreference modeling

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SPOT
• C4.5

Cites Work

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• An analytic approach for obtaining maximal entropy OWA operator weights
• Determination of weights of interacting criteria from a reference set
• Nonlinear nonnegative multiregressions based on Choquet integrals
• On obtaining minimal variability OWA operator weights.
• Experimental research in evolutionary computation. The new experimentalism
• A model of human evaluation process using fuzzy measure
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking

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