Ridge regression is a model that is frequently used and has numerous effective applications‎, ‎particularly in the management of correlated factors in a multiple regression model‎. ‎Additionally‎, ‎multicollinearity poses a significant risk in fuzzy regression models when it comes to predictions‎. ‎In order to solve this problem‎, ‎we bring together the fuzzy regression model with the ridge regression technique‎. ‎Regarding the evaluation of the coefficients of the ridge fuzzy regression model‎, ‎the algorithm that we have suggested makes use of the parametric estimation approach‎. ‎In this article‎, ‎we examine the ridge regression in the intuitionistic fuzzy environment‎. ‎We assume that the input and output data are intuitionistic fuzzy numbers‎. ‎Since in the regression analysis we need to calculate the distance between the variables‎, ‎we define a new fuzzy parametric distance‎. ‎Also‎, ‎the goodness of fit of the model with the indicators of the mean square of the prediction error has been investigated in simulation examples and real data‎. پرونده مقاله