FUZZY LINEAR AND POLYNOMIAL REGRESSION MODELLING OF ‘IF-THEN’ FUZZY RULEBASE

DOI10.1142/S0218488508005145zbMath1154.68522OpenAlexW2007536864MaRDI QIDQ3524404

Chandan Chakraborty, Debjani Chakraborty

Publication date: 9 September 2008

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/s0218488508005145

zbMATH Keywords

fuzzy rules

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (6)

A fuzzy nonlinear univariate regression model with exact predictors and fuzzy responses ⋮ A fuzzy empirical quantile-based regression model based on triangular fuzzy numbers ⋮ On general form of fuzzy lines and its application in fuzzy line fitting ⋮ A robust support vector regression with exact predictors and fuzzy responses ⋮ FORECASTING IN FUZZY SYSTEMS ⋮ Fuzzy spline univariate regression with exact predictors and fuzzy responses

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• Fuzzy prediction based on regression models
• Exponential possibility regression analysis
• A theoretical development on a fuzzy distance measure for fuzzy numbers
• Fuzzy sets
• Multidimensional least-squares fitting with a fuzzy model

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