Title of article :
A linear regression model for imprecise response Original Research Article
Author/Authors :
M.B. Ferraro، نويسنده , , R. Coppi، نويسنده , , J. G. Gonzalez-Rodriguez، نويسنده , , A. Colubi، A. Colubi نويسنده A. Colubi, A. Colubi
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
A linear regression model with imprecise response and p real explanatory variables is analyzed. The imprecision of the response variable is functionally described by means of certain kinds of fuzzy sets, the LR fuzzy sets. The LR fuzzy random variables are introduced to model usual random experiments when the characteristic observed
Keywords :
Asymptotic distribution , Least-squares approach , LR fuzzy data , Interval data , Regression models
Journal title :
International Journal of Approximate Reasoning
Journal title :
International Journal of Approximate Reasoning