Revista de Matemática Teoría y Aplicaciones
versão ISSN 1409-1433
DE-LOS-COBOS-SILVA, Sergio G; GODDARD-CLOSE, John e GUTIERREZ-ANDRADE, Miguel A. Fuzzy regression vs. ordinary least squares regression: case study. Rev. Mat [online]. 2011, vol.18, n.1, pp. 33-48. ISSN 1409-1433.
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, one with 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.
Palavras-chave : linear regression; fuzzy regression; fuzzy linear programming.