On assessing the \(H\) value in fuzzy linear regression

DOI10.1016/0165-0114(93)90505-CzbMath0791.62073OpenAlexW1975346805MaRDI QIDQ1315872

Herbert Moskowitz, Kwang-Jae Kim

Publication date: 24 March 1994

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

Full work available at URL: https://doi.org/10.1016/0165-0114(93)90505-c

zbMATH Keywords

possibility distributionfuzzy linear regression\(H\) valuemembership function shapespreads of fuzzy parameters

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Linear inference, regression (62J99) Nonparametric inference (62G99)

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Cites Work

• Unnamed Item
• Unnamed Item
• Possibilistic linear regression analysis for fuzzy data
• An approach to causal modeling in fuzzy environment and its application
• Application of fuzzy theories to multiple objective decision making in system design
• Fuzzy linear regression and its applications to forecasting in uncertain environment
• Fuzzy data analysis by possibilistic linear models
• Possibilistic linear systems and their application to the linear regression model
• Fuzzy sets and systems. Theory and applications
• The concept of a linguistic variable and its application to approximate reasoning. I
• Fuzzy versus statistical linear regression
• Fuzzy multicriteria models for quality function deployment
• Note on fuzzy regression
• Relative Risk Aversion
• Linear Regression Analysis with Fuzzy Model
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

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