‎In this paper a new weighted fuzzy ridge regression method for a given set of crisp input and triangular fuzzy output values is proposed‎. ‎In this regard‎, ‎ridge estimator of fuzzy parameters is obtained for regression model and its prediction error is calculated by using the weighted fuzzy norm of crisp ridge coefficients‎. . ‎To evaluate the proposed regression model‎, ‎we introduce the fuzzy coefficient of determination (FCD)‎. ‎Fuzzy regression is compared with its ridge version by using mean predict error and FCD‎, ‎numerically‎. ‎It is evident from comparison results the proposed fuzzy ridge regression is superior to the non-ridge counterpar