Linear and nonlinear fuzzy regression: Evolutionary algorithm solutions

DOI10.1016/S0165-0114(98)00154-7zbMath0948.62048OpenAlexW2030904592WikidataQ127647458 ScholiaQ127647458MaRDI QIDQ1568519

Feuring, Thomas, Buckley, James J.

Publication date: 6 November 2000

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(98)00154-7

zbMATH Keywords

fuzzy regressionevolutionary algorithm

Mathematics Subject Classification ID

Related Items (14)

Unnamed Item ⋮ Fuzzy regression based on asymmetric support vector machines ⋮ RIDGE REGRESSION PROCEDURES FOR FUZZY MODELS USING TRIANGULAR FUZZY NUMBERS ⋮ A fuzzy empirical quantile-based regression model based on triangular fuzzy numbers ⋮ A nonlinear modeling with linear fuzzy numbers for replicated response measures ⋮ A fuzzy nonparametric regression model based on an extended center and range method ⋮ Fuzzy logistic regression based on the least squares approach with application in clinical studies ⋮ Support vector fuzzy regression machines ⋮ MONTE CARLO METHODS IN FUZZY NON-LINEAR REGRESSION ⋮ A reduced support vector machine approach for interval regression analysis ⋮ Tabu search for fuzzy optimization and applications. ⋮ A robust support vector regression with exact predictors and fuzzy responses ⋮ Extended fuzzy regression models using regularization method ⋮ Fuzzy spline univariate regression with exact predictors and fuzzy responses

Cites Work

• Fuzzy least squares
• On using \(\alpha\)-cuts to evaluate fuzzy equations
• General fuzzy least squares
• Neural net solutions to fuzzy linear programming
• Evolutionary algorithm solution to fuzzy problems: fuzzy linear programming
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• Unnamed Item
• Unnamed Item
• Unnamed Item

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