Fuzzy linear regression forecasting models

Chong Wu; Xiao Feng Hui; Hong Wen Zhu

Fuzzy linear regression forecasting models

Chong Wu^*
, Xiao Feng Hui
, Hong Wen Zhu

^*Corresponding author for this work

School of Management, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The fuzzy linear regression forecasting model is deduced from symmetric triangular fuzzy number. With the help of the degree of fitting and the measure of fuzziness, the determination of symmetric triangular fuzzy numbers is changed into a problem of solving linear programming.

Original language	English
Pages (from-to)	280-281
Number of pages	2
Journal	Journal of Harbin Institute of Technology (New Series)
Volume	9
Issue number	3
State	Published - Sep 2002
Externally published	Yes

Keywords

Fuzzy forecasting
Fuzzy linear regression
Symmetric triangular fuzzy numbers

Cite this

@article{d48d857b93534eb4a0734eca5beb4ffa,

title = "Fuzzy linear regression forecasting models",

abstract = "The fuzzy linear regression forecasting model is deduced from symmetric triangular fuzzy number. With the help of the degree of fitting and the measure of fuzziness, the determination of symmetric triangular fuzzy numbers is changed into a problem of solving linear programming.",

keywords = "Fuzzy forecasting, Fuzzy linear regression, Symmetric triangular fuzzy numbers",

author = "Chong Wu and Hui, \{Xiao Feng\} and Zhu, \{Hong Wen\}",

year = "2002",

month = sep,

language = "英语",

volume = "9",

pages = "280--281",

journal = "Journal of Harbin Institute of Technology (New Series)",

issn = "1005-9113",

publisher = "Harbin Institute of Technology",

number = "3",

}

TY - JOUR

T1 - Fuzzy linear regression forecasting models

AU - Wu, Chong

AU - Hui, Xiao Feng

AU - Zhu, Hong Wen

PY - 2002/9

Y1 - 2002/9

N2 - The fuzzy linear regression forecasting model is deduced from symmetric triangular fuzzy number. With the help of the degree of fitting and the measure of fuzziness, the determination of symmetric triangular fuzzy numbers is changed into a problem of solving linear programming.

AB - The fuzzy linear regression forecasting model is deduced from symmetric triangular fuzzy number. With the help of the degree of fitting and the measure of fuzziness, the determination of symmetric triangular fuzzy numbers is changed into a problem of solving linear programming.

KW - Fuzzy forecasting

KW - Fuzzy linear regression

KW - Symmetric triangular fuzzy numbers

UR - https://www.scopus.com/pages/publications/0036766375

M3 - 文章

AN - SCOPUS:0036766375

SN - 1005-9113

VL - 9

SP - 280

EP - 281

JO - Journal of Harbin Institute of Technology (New Series)

JF - Journal of Harbin Institute of Technology (New Series)

IS - 3

ER -

Fuzzy linear regression forecasting models

Abstract

Keywords

Other files and links

Fingerprint

Cite this