This paper deals with fuzzy regression analysis in presence of multivariate symmetric fuzzy response and symmetric crisp or fuzzy explanatory variables. Two models are proposed according to the features of the exploratory variables. Two Alternating Least Squares (ALS) algorithms in order to find the solutions and a goodness of fit index are given. Finally, an application on fuzzy food chemical data is described.
FITTING OF FUZZY LINEAR REGRESSION MODELS WITH MULTIVARIATE RESPONSE / D'Urso, Pierpaolo; Giordani, Paolo. - In: INTERNATIONAL MATHEMATICAL JOURNAL. - ISSN 1311-6797. - 3 (6):(2003), pp. 655-664.
FITTING OF FUZZY LINEAR REGRESSION MODELS WITH MULTIVARIATE RESPONSE
D'URSO, Pierpaolo;GIORDANI, Paolo
2003
Abstract
This paper deals with fuzzy regression analysis in presence of multivariate symmetric fuzzy response and symmetric crisp or fuzzy explanatory variables. Two models are proposed according to the features of the exploratory variables. Two Alternating Least Squares (ALS) algorithms in order to find the solutions and a goodness of fit index are given. Finally, an application on fuzzy food chemical data is described.File allegati a questo prodotto
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