An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application

The nonhomogeneous grey model has been seen as an effective method for forecasting time series with approximate nonhomogeneous index law, which has been widely used in diverse disciplines on account of its high prediction precision. However, there remains room for improvements. For this, this study...

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Main Authors: Shuanghua Liu, Qin Qi, Zhiming Hu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/9962565
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author Shuanghua Liu
Qin Qi
Zhiming Hu
author_facet Shuanghua Liu
Qin Qi
Zhiming Hu
author_sort Shuanghua Liu
collection DOAJ
description The nonhomogeneous grey model has been seen as an effective method for forecasting time series with approximate nonhomogeneous index law, which has been widely used in diverse disciplines on account of its high prediction precision. However, there remains room for improvements. For this, this study presents an improved nonhomogeneous grey model by incorporating the dynamic integral mean value theorem and fractional accumulation simultaneously. In order to promote the efficacy of the optimised model, we apply the whale optimization algorithm (WOA) to ascertain its optimal parameter. In particular, two examples are conducted to validate the superiority of the proposed model in contrast with other benchmarks, and the experimental results show that the mean absolute percentage error of the proposed approach is 808692% and 6.0706%, respectively, indicating the proposed approach performs better than other competing models.
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institution Kabale University
issn 2314-4629
2314-4785
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-c0dccabc61b945c5b4d1e4350a9e49c72025-02-03T01:27:22ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/99625659962565An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its ApplicationShuanghua Liu0Qin Qi1Zhiming Hu2School of Mathematics and Statistics, Baise University, Baise 533000, ChinaSchool of Economics and Management, Tongji University, Shanghai 200092, ChinaZhejiang College, Shanghai University of Finance & Economics, Jinhua 321013, ChinaThe nonhomogeneous grey model has been seen as an effective method for forecasting time series with approximate nonhomogeneous index law, which has been widely used in diverse disciplines on account of its high prediction precision. However, there remains room for improvements. For this, this study presents an improved nonhomogeneous grey model by incorporating the dynamic integral mean value theorem and fractional accumulation simultaneously. In order to promote the efficacy of the optimised model, we apply the whale optimization algorithm (WOA) to ascertain its optimal parameter. In particular, two examples are conducted to validate the superiority of the proposed model in contrast with other benchmarks, and the experimental results show that the mean absolute percentage error of the proposed approach is 808692% and 6.0706%, respectively, indicating the proposed approach performs better than other competing models.http://dx.doi.org/10.1155/2021/9962565
spellingShingle Shuanghua Liu
Qin Qi
Zhiming Hu
An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application
Journal of Mathematics
title An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application
title_full An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application
title_fullStr An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application
title_full_unstemmed An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application
title_short An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application
title_sort improved nonhomogeneous grey model with fractional order accumulation and its application
url http://dx.doi.org/10.1155/2021/9962565
work_keys_str_mv AT shuanghualiu animprovednonhomogeneousgreymodelwithfractionalorderaccumulationanditsapplication
AT qinqi animprovednonhomogeneousgreymodelwithfractionalorderaccumulationanditsapplication
AT zhiminghu animprovednonhomogeneousgreymodelwithfractionalorderaccumulationanditsapplication
AT shuanghualiu improvednonhomogeneousgreymodelwithfractionalorderaccumulationanditsapplication
AT qinqi improvednonhomogeneousgreymodelwithfractionalorderaccumulationanditsapplication
AT zhiminghu improvednonhomogeneousgreymodelwithfractionalorderaccumulationanditsapplication