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An intuitionistic fuzzy grey-Markov method with application to demand forecasting for emergency supplies during major epidemics

Zhiying Wang (School of Management Science and Engineering, Anhui University of Technology, Maanshan, China)
Hongmei Jia (School of Management Science and Engineering, Anhui University of Technology, Maanshan, China)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 6 November 2023

Issue publication date: 15 January 2024

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Abstract

Purpose

Forecasting demand of emergency supplies under major epidemics plays a vital role in improving rescue efficiency. Few studies have combined intuitionistic fuzzy set with grey-Markov method and applied it to the prediction of emergency supplies demand. Therefore, this article aims to establish a novel method for emergency supplies demand forecasting under major epidemics.

Design/methodology/approach

Emergency supplies demand is correlated with the number of infected cases in need of relief services. First, a novel method called the Intuitionistic Fuzzy TPGM(1,1)-Markov Method (IFTPGMM) is proposed, and it is utilized for the purpose of forecasting the number of people. Then, the prediction of demand for emergency supplies is calculated using a method based on the safety inventory theory, according to numbers predicted by IFTPGMM. Finally, to demonstrate the effectiveness of the proposed method, a comparative analysis is conducted between IFTPGMM and four other methods.

Findings

The results show that IFTPGMM demonstrates superior predictive performance compared to four other methods. The integration of the grey method and intuitionistic fuzzy set has been shown to effectively handle uncertain information and enhance the accuracy of predictions.

Originality/value

The main contribution of this article is to propose a novel method for emergency supplies demand forecasting under major epidemics. The benefits of utilizing the grey method for handling small sample sizes and intuitionistic fuzzy set for handling uncertain information are considered in this proposed method. This method not only enhances existing grey method but also expands the methodologies used for forecasting demand for emergency supplies.

Highlights (for review)

  1. An intuitionistic fuzzy TPGM(1,1)-Markov method (IFTPGMM) is proposed.

  2. The safety inventory theory is combined with IFTPGMM to construct a prediction method.

  3. Asymptomatic infected cases are taken to forecast the demand for emergency supplies.

Keywords

Acknowledgements

This work was jointly supported by the National Natural Science Foundation of China (Project nos. 72074002 and 71704001), the Natural Science Foundation of Anhui Province (Project no. 2208085Y20), and the Foundation for Distinguished Young Scholars of Anhui Provincial Department of Education (Project no. 2022AH020031). The authors sincerely appreciate the editor and anonymous referees for their pertinent comments and enlightening suggestions.

Citation

Wang, Z. and Jia, H. (2024), "An intuitionistic fuzzy grey-Markov method with application to demand forecasting for emergency supplies during major epidemics", Grey Systems: Theory and Application, Vol. 14 No. 1, pp. 185-208. https://doi.org/10.1108/GS-07-2023-0062

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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