Title :
Notice of Retraction
The least square estimate of multivariate fuzzy linear regression model and its asymptotic character
Author_Institution :
Coll. of Math., Jilin Normal Univ., Siping, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Kim et al. proposed a new fuzzy linear regression model. When the order of model is 1, they obtained the least squares estimate of the parameters and proved its consistency and asymptotic normality. In this paper, we consider the fuzzy least squares estimate of the parameters of the multivariate fuzzy linear regression model and its asymptotic character.
Keywords :
fuzzy set theory; least squares approximations; multivariable systems; regression analysis; asymptotic character; asymptotic normality; fuzzy least squares estimation; multivariate fuzzy linear regression model; parameter estimation; Asymptotic Normality; Consistency; Fuzzy least squares estimate; Regression; Triangular Fuzzy Number;
Conference_Titel :
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7860-6
DOI :
10.1109/INDUSIS.2010.5565690
