RIDGE REGRESSION PROCEDURES FOR FUZZY MODELS USING TRIANGULAR FUZZY NUMBERS
2004 ◽
Vol 12
(02)
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pp. 145-159
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Keyword(s):
Data Set
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This paper presents a new method of estimating fuzzy multivariable linear and nonlinear regression models using triangular fuzzy numbers. This estimation method is obtained by implementing a dual version of the ridge regression procedure for linear models. It allows us to perform fuzzy nonlinear regression by constructing a fuzzy linear regression in a high dimensional feature space for the data set with crisp inputs and fuzzy output. Experimental results are then presented, which indicate the performance of this algorithm.
2013 ◽
Vol 2013
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pp. 1-9
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2018 ◽
Vol 7
(4.33)
◽
pp. 78
2018 ◽
Vol 9
(11)
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pp. 1717-1727
2020 ◽
Vol 12
(03)
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Keyword(s):