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A linear regression model using triangular fuzzy number coefficients
DOI:10.1016/S0165-0114(97)00269-8.png)
摘要
En 中文
Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficients has been formulated earlier. The goal of this regression is to find the coefficients of a proposed model for all given input-output data sets. In this paper, we extend the results of a fuzzy linear regression model that uses symmetric triangular coefficient to one with non-symmetric fuzzy triangular coefficients. This work eradicates the inflexibility of existing fuzzy linear regression models. (C) 1999 Published by Elsevier Science B.V. All rights reserved.
Keyword:
fuzzy regression analysis
fuzzy triangular coefficient
non-symmetric coefficient
minimization of fuzziness
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