Fuzzy least-squares linear regression analysis using shape preserving operations

被引：35
|
作者：
Hong, DH
Song, JK
Do, HY
机构：
[1] Catholic Uniuv Taegu Hyosung, Sch Mech & Automot Engn, Kyungbuk 712702, South Korea
[2] Kyungpook Natl Univ, Dept Stat, Taegu 702701, South Korea
来源：
INFORMATION SCIENCES | 2001年 / 138卷 / 1-4期
关键词：
D O I：
10.1016/S0020-0255(01)00125-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we introduce a new class of fuzzy linear regression model with fuzzy input-fuzzy output data using shape preserving arithmetic operations on L-R fuzzy numbers for least-squares fitting. A mixed nonlinear programming approach is used to derive the satisfying solution. This answers one of Diamond's questions [Inform. Sci. 46 (1988) 141]. (C) 2001 Elsevier Science Inc. All rights reserved.
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页码：185 / 193
页数：9
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