Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs
by S. Balasundaram, Kapil
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 3, No. 1, 2011

Abstract: In this paper a new weighted fuzzy ridge regression method for a given set of crisp input and asymmetrical triangular fuzzy output values is proposed. In this approach the non-linear regression function is obtained by mapping the input samples into a higher dimensional feature space via a kernel function and constructing a linear regression estimation function in it. The method has the advantage that the solution is obtained by solving a system of linear equations. For the illustration of the proposed method a number of examples of importance are considered and the results obtained are compared with that of other methods. The results clearly demonstrate the effectiveness of our proposed method.

Online publication date: Tue, 30-Sep-2014

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