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A MODIFICATION ON RIDGE ESTIMATION FOR FUZZY NONPARAMETRIC REGRESSION | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 7، دوره 9، شماره 2، تابستان 2012، صفحه 75-88 اصل مقاله (257.19 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2012.208 | ||
| نویسندگان | ||
Rahman Farnoosh  1؛ Javad Ghasemian2؛ Omid Solaymani Fard3
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| 1School of Mathematics, Iran University of Science and Tech- nology, Narmak, Tehran-16846, Iran | ||
| 2School of Mathematics, Iran University of Science and Technol- ogy, Narmak, Tehran-16846, Iran | ||
| 3School of Mathematics and Computer Science, Damghan Uni- versity, Damghan, Iran | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| Fuzzy regression؛ Ridge estimation؛ Fuzzy nonparametric regression؛ Local linear smoothing | ||
| مراجع | ||
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