The Separate Parameter Estimation in Univariate Fuzzy Linear Regression Model

被引：0
|
作者：
Zhao, Zhiwen [1 ]
机构：
[1] Jilin Normal Univ, Coll Math, Siping, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012) | 2012年 / 33卷
关键词：
triangular fuzzy number; the least squares estimation; fuzzy linear regression model; unbiased estimation; SEQUENCES; NUMBERS;
D O I：
10.1016/j.phpro.2012.05.239
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
Kim et al.[1] proposed a new fuzzy linear regression model and studied the asymptotic normality and strong consistency of the fuzzy least squares estimation. In this paper, we proposed a new estimation method to estimate the parameters in univariate fuzzy linear regression. Compared with the traditional least squares, our method is robust. (C) 2012 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICMPBE International Committee.
引用
收藏
页码：1461 / 1467
页数：7
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