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Open Access

Peer-reviewed

Research Article

Study on measurement and prediction of agricultural product supply chain resilience based on improved EW-TOPSIS and GM (1,1)-Markov models under public emergencies

Hongzhi Wang,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Writing – original draft, Writing – review & editing

Affiliation School of Economics and Management, Qingdao Agricultural University, Qingdao, Shandong, China
⨯
Li Lu ,

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Writing – original draft, Writing – review & editing, Conceptualization

* E-mail: l13455386992@163.com

Affiliation School of Economics and Management, Qingdao Agricultural University, Qingdao, Shandong, China

https://orcid.org/0009-0004-1558-5846

⨯
Zhaoli Liu,

Roles Conceptualization, Formal analysis, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation School of Economics and Management, Qingdao Agricultural University, Qingdao, Shandong, China
⨯
Yuxuan Sun

Roles Conceptualization, Formal analysis, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Michael Smurfit Graduate Business School, University College of Dublin, Dublin, Ireland
⨯

Study on measurement and prediction of agricultural product supply chain resilience based on improved EW-TOPSIS and GM (1,1)-Markov models under public emergencies

Hongzhi Wang,
Li Lu,
Zhaoli Liu,
Yuxuan Sun

x

Published: May 9, 2025
https://doi.org/10.1371/journal.pone.0321248

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Food
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Transportation
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