a modification on ridge estimation for fuzzy nonparametric regression

Authors

rahman farnoosh

javad ghasemian

omid solaymani fard

abstract

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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Journal title:
iranian journal of fuzzy systems

Publisher: university of sistan and baluchestan

ISSN 1735-0654

volume 9

issue 2 2012

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