On the Comparison of Fuzzy Kernel Regression Estimator and Fuzzy Radial Basis Function Networks

In this paper, we suggest two fuzzy estimators in nonparametric regression: fuzzy kernel regression insert ignore into journalissuearticles values(FNPR); estimator and fuzzy radial basis function insert ignore into journalissuearticles values(FRBF); networks. Both FNPR estimator and FRBF networks are applied to original data taken from an experiment. We obtain MSE values of the FNPR estimator and FRBF networks and then compare them. We show that the FNPR estimator is more efficient than the FRBF networks.   Key Words : Fuzzy number, Fuzzy kernel regression estimator, Nonparametric regression, Neural networks, Fuzzy radial basis function networks.