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• W2104509797 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." @default.
• W2104509797 created "2016-06-24" @default.
• W2104509797 creator A5060849516 @default.
• W2104509797 date "2011-01-01" @default.
• W2104509797 modified "2023-09-26" @default.
• W2104509797 title "Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs" @default.
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• W2104509797 doi "https://doi.org/10.1504/ijaip.2011.038116" @default.
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