Regresión borrosa VS. regresión por mínimos cuadrados ordinarios: caso de estudio
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| Nhiều tác giả: | , , |
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| Định dạng: | artículo original |
| Trạng thái: | Versión publicada |
| Ngày xuất bản: | 2011 |
| Miêu tả: | 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. |
| Quốc gia: | Portal de Revistas UCR |
| Tổ chức giáo dục: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Ngôn ngữ: | Español |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/2113 |
| Truy cập trực tuyến: | https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/2113 |
| Từ khóa: | linear regression fuzzy regression fuzzy linear programming regresión lineal regresión borrosa programación lineal borrosa |