On Novel Nonhomogeneous Multivariable Grey Forecasting Model NHMGM

Haixia Wang, Peiguang Wang, M. Tamer Şenel and Tongxing Li

Mathematical Problems in Engineering, 2019, vol. 2019, 1-13

Abstract:

A novel nonhomogeneous multivariable grey forecasting model termed NHMGM is proposed in this paper for use in nonhomogeneous multivariable exponential data sequences. The NHMGM model is able to reflect the nonlinear relation of the data sequences in the system, and it is proved that many classic grey forecasting models can be derived from NHMGM model. Parameters of the novel model are obtained by using least square method, and the time response function is given. A numerical example is presented to show the effectiveness of the proposed model, six different grey forecasting models are built for modeling, and two popular accuracy criteria (ARPE and MAPE) are adopted to test the reliability of the novel model. The example demonstrates that NHMGM-2 model provides favorable performance compared with the other five grey models. Additionally, the multiplication transformation properties of NHMGM are systematically analysed, which establish a theoretical foundation for further applications of the model.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2019/9049815.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2019/9049815.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9049815

DOI: 10.1155/2019/9049815

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().