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Ridge Fuzzy Regression Model
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DOI：10.1007/s40815-019-00692-0.png)
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Ridge regression model is a widely used model with many successful applications, especially in managing correlated covariates in a multiple regression model. Multicollinearity represents a serious threat in fuzzy regression models as well. We address this issue by combining ridge regression with the fuzzy regression model. Our proposed algorithm uses the a-level estimation method to evaluate the parameters of the ridge fuzzy regression model. Two examples are given to illustrate the ridge fuzzy regression model with crisp input/fuzzy output and fuzzy coefficients.
Keyword:
Ridge regression
Multicollinearity
Ridge fuzzy regression model
Fuzzy multiple linear regression model
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