A GOAL PROGRAMMING APPROACH TO FUZZY LINEAR REGRESSION WITH NON-FUZZY INPUT AND FUZZY OUTPUT DATA

DOI10.1142/S0217595909002420zbMath1178.90358OpenAlexW2033412716MaRDI QIDQ5850784

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Publication date: 15 January 2010

Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217595909002420

zbMATH Keywords

goal programmingfuzzy numberslinear regression\(h\)-level set

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Fuzzy analysis in statistics (62A86)

Related Items (8)

Estimating the parameters of fuzzy linear regression model with crisp inputs and Gaussian fuzzy outputs: a goal programming approach ⋮ Fuzzy goal programming model for classification problems ⋮ Fuzzy linear regression using rank transform method ⋮ Prediction of retinopathy in diabetic patients using type-2 fuzzy regression model ⋮ Least-squares approach to regression modeling in full interval-valued fuzzy environment ⋮ A weighted goal programming approach to fuzzy linear regression with crisp inputs and type-2 fuzzy outputs ⋮ A weighted goal programming approach to estimate the linear regression model in full quasi type-2 fuzzy environment ⋮ An integrated shrinkage strategy for improving efficiency in fuzzy regression modeling

Cites Work

• Unnamed Item
• Fuzzy least squares
• An omission approach for detecting outliers in fuzzy regression models
• Evaluation of fuzzy linear regression models
• Ranking fuzzy numbers in the setting of possibility theory
• Fuzzy data analysis by possibilistic linear models
• Fuzzy sets as a basis for a theory of possibility
• Multi-objective fuzzy regression: A general framework
• Fuzzy linear regression models with least square errors
• A simple method for computation of fuzzy linear regression
• Least-squares estimates in fuzzy regression analysis.
• Properties of certain fuzzy linear regression methods
• Operations on fuzzy numbers
• FUZZY LINEAR REGRESSION ANALYSIS FROM THE POINT OF VIEW RISK
• Outliers detection and confidence interval modification in fuzzy regression.
• Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks

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