Fuzzy regression using least absolute deviation estimators

被引：0
|
作者：
Seung Hoe Choi
James J. Buckley
机构：
[1] Hankuk Aviation University,Department of General Studies
[2] University of Alabama,Department of Mathematics
来源：
Soft Computing | 2008年 / 12卷
关键词：
Fuzzy regression; Least absolute deviation estimators; Fuzzy outliers;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In fuzzy regression, that was first proposed by Tanaka et al. (Eur J Oper Res 40:389–396, 1989; Int Cong Appl Syst Cybern 4:2933–2938, 1980; IEEE Trans SystMan Cybern 12:903–907, 1982), there is a tendency that the greater the values of independent variables, the wider the width of the estimated dependent variables. This causes a decrease in the accuracy of the fuzzy regression model constructed by the least squares method.
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页码：257 / 263
页数：6
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