A general linear regression model for studying the dependence of a LR fuzzy response variable on a set of crisp explanatory variables, along with a suitable iterative least squares estimation procedure, is introduced.Expand

We propose a robust fuzzy linear regression model based on the Least Median Squares-Weighted Least Squares (LMS-WLS) estimation procedure to deal with data contaminated by outliers due to measurement errors.Expand

We measure the goodness of fit of a fuzzy linear regression model with symmetrical fuzzy output variable by means of the coefficient of multiple determination R2, R ¯ 2 and the Mallows measure (Cp).Expand

We introduce a class of fuzzy clusterwise regression models with LR fuzzy response variable and numeric explanatory variables, which embodies fuzzy clustering, into a fuzzy regression framework.Expand