Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study

The objective of this paper is to disseminate the technique of fuzzy regression and to give a practical example of its use. To this end, classical regression is compared to several fuzzy regression models on a problem concerning the consumer confidence index with respect to the dollar rate, the latt...

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Autores Principales: de los Cobos Silva, Sergio Gerardo, Goddard Close, John, Gutiérrez Andrade, Miguel Ángel
Formato: Artículo
Idioma: Español
Publicado: 2015
Acceso en línea: http://revistas.ucr.ac.cr/index.php/matematica/article/view/2113
http://hdl.handle.net/10669/12984
Sumario: The objective of this paper is to disseminate the technique of fuzzy regression and to give a practical example of its use. To this end, classical regression is compared to several fuzzy regression models on a problem concerning the consumer confidence index with respect to the dollar rate, the latter taken as the independent variable. A brief introduction is given to each of the different methodologies employed. The results obtained using the regression algorithms, onewith ordinary least squares and another two with fuzzy regression, are presented. The instances generated using the official historical data for the problem are given and the numerical results obtained with the regression methods are reported.