Multiple Linear Coping Methods in Fuzzy Linear Regression Models with Fuzzy Inputs and Outputs

Document Type : Original Article

Authors

20.1001.1.27174409.1399.3.2.2.9/DOR

Abstract

The existence of multiple alignments in multiple regression models affects the estimation of regression coefficients, therefore, a proper and expressive interpretation of the regression model is not obtained. In this paper, we use the fuzzy principal component regression method to deal with multiple alignment problems in fuzzy regression models with fuzzy inputs and outputs. We also introduce the methods of coping with multiple linearity and finally provide numerical examples that show the effect of using methods of coping with multiple linearity.

Keywords


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