Grey double exponential smoothing model and its application on pig price forecasting

Date

2016

Advisors

Journal Title

Journal ISSN

ISSN

1568-4946

Volume Title

Publisher

Elsevier

Type

Article

Peer reviewed

Yes

Abstract

To resolve the conflict between our desire for a good smoothing effect and desire to give additional weight to the recent change, a grey accumulating generation operator that can smooth the random interference of data is introduced into the double exponential smoothing method. The results of practical numerical examples have demonstrated that the proposed grey double exponential smoothing method outperforms the traditional double exponential smoothing method in forecasting problems.

Description

The file attached to this record is the authors final peer reviewed version. The version of record can be found by following the DOI link.

Keywords

forecasting, double exponential smoothing model, accumulating generation operator

Citation

Wu, L., Liu, S., Yang, Y. (2016) Grey double exponential smoothing model and its application on pig price forecasting. Applied Soft Computing, 39, pp. 117–123

Rights

Research Institute

Institute of Artificial Intelligence (IAI)