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An Alternative Method for Fuzzy Regression:Fuzzy Radial Basis Function Network

Author(s): Nimet Yapıcı Pehlivan | Turan Paksoy | Ching-Ter Chang

Journal: International Journal of Lean Thinking
ISSN 2146-0337

Volume: 1;
Issue: 1;
Start page: 1;
Date: 2010;
Original page

Keywords: Fuzzy sets | Fuzzy regression | Fuzzy radial basis function network

In this paper, we develop a Fuzzy Radial Basis Function (FRBF)network to estimate the outputs of fuzzy regression models withcrip inputs and fuzzy outputs. The proposed approach is afuzzification of the outputs and weights between hidden-outputunits of conventional RBF network. The method is constructedon the basis of minimizing the square of the total differencebetween observed and estimated outputs or in other wordsminimizing the least square errors. The advantage of theproposed approach is its simplicity and computation as well asits performance. To compare the performance of the proposedmethod with the other traditional methods given in the literature;two numerical examples are presented.
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