Exponential possibility regression analysis by identification method of possibilistic coefficients

DOI10.1016/S0165-0114(97)00271-6zbMath1045.62522MaRDI QIDQ1304326

Hideo Tanaka, Haekwan Lee

Publication date: 1999

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

zbMATH Keywords

area of possibility distribution

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Linear inference, regression (62J99)

Related Items (4)

FUZZY LINEAR AND POLYNOMIAL REGRESSION MODELLING OF ‘IF-THEN’ FUZZY RULEBASE ⋮ A non-linear fuzzy degradation model for estimating reliability of a polymeric coating ⋮ Possibility theory and statistical reasoning ⋮ Upper and lower approximation models in interval regression using regression quantile techniques

Cites Work

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• Fuzzy least squares
• Possibilistic linear regression analysis for fuzzy data
• Identification of possibilistic linear systems by quadratic membership functions of fuzzy parameters
• Evaluating explicit functional relationships from fuzzy observations
• Fuzzy data analysis by possibilistic linear models
• Possibilistic linear systems and their application to the linear regression model
• Fuzzy versus statistical linear regression
• On assessing the \(H\) value in fuzzy linear regression
• Exponential possibility regression analysis
• Multidimensional least-squares fitting of fuzzy models
• Linear Regression Analysis with Fuzzy Model

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