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Soft Computing
Published in: Soft Computing 17/2018

27-06-2018 | Focus

Uncertain multivariable regression model

Authors: Yuanlong Song, Zongfei Fu

Published in: Soft Computing | Issue 17/2018

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Abstract

Uncertainty theory provides an alternative to model human belief degree without the scope of probability theory. Supposing that a response variable is an uncertain variable, the simple uncertain regression has proposed. In many cases, the number of response variables is more than one. This paper proposes uncertain multivariable linear regression model which has multiple response variables. Firstly, this paper discusses generalized least squares estimate of simple uncertain linear regression model. Moreover, this paper introduces a least squares method to estimate unknown parameters of uncertain multivariable linear regression.
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Metadata
Title
Uncertain multivariable regression model
Authors
Yuanlong Song
Zongfei Fu
Publication date
27-06-2018
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 17/2018
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3324-5

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