estimating the parameters of a fuzzy linear regression model
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abstract
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.
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Journal title:
iranian journal of fuzzy systemsPublisher: university of sistan and baluchestan
ISSN 1735-0654
volume 5
issue 2 2008
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