Fuzzy linear regression analysis: a multi-objective programming approach

被引：48
|
作者：
Nasrabadi, MM [1 ]
Nasrabadi, E
Nasrabady, AR
机构：
[1] Payam Noor Univ Birjand, Dept Math, Birjand, Turkey
[2] Amirkabir Univ Technol, Fac Math & Comp Sci, Tehran, Iran
[3] Iranian Islam Republ Railway, Purchasing Gen Dept, Tehran, Iran
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2005年 / 163卷 / 01期
关键词：
fuzzy numbers; fuzzy regression; mathematical programming;
D O I：
10.1016/j.amc.2004.02.008
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Fuzzy regression analysis is an extension of the classical regression analysis that is used in evaluating the functional relationship between the dependent and independent variables in a fuzzy environment. Fuzzy regression has been criticized because it is sensitive to outliers, it does not allow all data points to influence the estimated parameters, and the spread of the estimated values become wider as more data are included in the model. In this paper, we develop a multi-objective fuzzy linear regression model to overcome the above shortcomings. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码：245 / 251
页数：7
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