Further examination of fuzzy linear regression

被引：45

作者：

Redden, DT ^{[1
]}

Woodall, WH ^{[1
]}

机构：

[1] UNIV ALABAMA,DEPT MANAGEMENT SCI & STAT,TUSCALOOSA,AL 35487

来源：

FUZZY SETS AND SYSTEMS | 1996年 / 79卷 / 02期

关键词：

fuzzy linear function; fuzzy coefficient; fuzzy set; ordinary least squares; orthogonal regression;

D O I：

10.1016/0165-0114(95)00176-X

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Fuzzy linear regression was originally introduced by Tanaka et al. (1982) Sakawa and Yano (1992) expanded fuzzy linear regression by introducing a method that allows fuzzy independent variables as well as a fuzzy dependent variable. The purpose of this paper is to examine the strengths and weaknesses of this formulation, suggest possible improvements, and discuss fundamental questions about fuzzy linear regression.

引用

页码：203 / 211

页数：9

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