A linear regression model using triangular fuzzy number coefficients

doi:10.1016/S0165-0114(97)00269-8

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A linear regression model using triangular fuzzy number coefficients

1999-09-01

137

PRE

S. Ghoshray

Gustavo Roig

DOI：10.1016/S0165-0114(97)00269-8

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Abstract

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.

Keywords:

fuzzy regression analysis

fuzzy triangular coefficient

non-symmetric coefficient

minimization of fuzziness

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