Asymptotic properties of least squares estimation with fuzzy observations

被引:33
|
作者
Kim, Hae Kyung [1 ]
Yoon, Jin Hee [1 ]
Li, Ying [1 ]
机构
[1] Yonsei Univ, Dept Math, Seoul 120749, South Korea
关键词
fuzzy least squares estimators; asymptotic properties; normality; consistency; asymptotic relative efficiency;
D O I
10.1016/j.ins.2007.07.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with the asymptotic properties of the least squares estimators for fuzzy linear regression models with fuzzy triangular input-output and random error terms. The asymptotic normality and strong consistency of the fuzzy least squares estimator (FLSE) are investigated; a confidence region based on a class of FLSEs is proposed; the asymptotic relative efficiency of FLSEs with respect to the crisp least squares estimators is also provided and a numerical example is given. Some simulation results are also presented to illustrate the behavior of FLSEs. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:439 / 451
页数:13
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