A MODIFICATION ON RIDGE ESTIMATION FOR FUZZY NONPARAMETRIC REGRESSION

نویسندگان

  • Javad Ghasemian School of Mathematics, Iran University of Science and Technol- ogy, Narmak, Tehran-16846, Iran
  • Rahman Farnoosh School of Mathematics, Iran University of Science and Tech- nology, Narmak, Tehran-16846, Iran
چکیده مقاله:

This paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. This estimation method is obtained by implementing ridge regression learning algorithm in the La- grangian dual space. The distance measure for fuzzy numbers that suggested by Diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting the optimal value of the smoothing param- eter is fuzzi ed to t the presented model. Some simulation experiments are then presented which indicate the performance of the proposed method.

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عنوان ژورنال

دوره 9  شماره 2

صفحات  75- 88

تاریخ انتشار 2012-06-10

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