Fuzzy least-squares linear regression analysis using shape preserving operations

被引：37

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.

引用

页码：185 / 193

页数：9

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