Novel grey forecasting model with bi-level structure for application to logistic demand

Author:

Xu NingORCID,Wang TianyuORCID,Qin QiuhaoORCID

Funder

Jiangsu Provincial Qinglan Project

National Natural Science Foundation of China

Government of Jiangsu Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. A novel multivariate grey model for forecasting periodic oscillation time series;Dang;Expert Systems with Applications,2023

2. Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model;Ding;Energy,2022

3. A research on a comprehensive adaptive grey prediction model CAGM (1, N);Guo;Applied Mathematics and Computation,2013

4. Forecasting number of ISO 14001 certifications of selected countries: Application of even GM (1, 1), DGM, and NDGM models;Ikram;Environmental Science and Pollution Research,2019

5. A novel particle swarm optimization-based grey model for the prediction of warehouse performance;Islam;Journal of Computational Design and Engineering,2021

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