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ESTIMATING THE PARAMETERS OF A FUZZY LINEAR REGRESSION MODEL | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 2، دوره 5، شماره 2، تابستان 2008، صفحه 1-19 اصل مقاله (246.89 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2008.322 | ||
| نویسندگان | ||
A. R. Arabpour1؛ M. Tata  2
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| 1Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| 2Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| چکیده | ||
| Fuzzy linear regression models are used to obtain an appropriate linear relation between a dependent variable and several independent variables in a fuzzy environment. Several methods for evaluating fuzzy coefficients in linear regression models have been proposed. The first attempts at estimating the parameters of a fuzzy regression model used mathematical programming methods. In this thesis, we generalize the metric defined by Diamond and use it as a criterion to estimate these parameters. Our method, is not only computationally easy to handle, but, when compared with earlier methods, has a smaller the sum of errors of estimation. | ||
| کلیدواژه‌ها | ||
| Fuzzy linear regression؛ Least squares method؛ Estimate | ||
| مراجع | ||
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