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eNauka >  Results >  Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model
Title: Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model
Authors: Qahtan, Sarah; Alsattar, H. A.; Zaidan, A. A.; Deveci, Muhammet; Pamučar, Dragan  ; Delen, Dursun; Pedrycz, Witold
Issue Date: 2023
Publication: Applied soft computing
ISSN: 1568-4946 Applied Soft Computing Search Idenfier
Publisher: Amsterdam : Elsevier
Type: Article
Collation: vol. 138 str. 110170-110170
DOI: 10.1016/j.asoc.2023.110170
WoS-ID: 001015327600001
Scopus-ID: 2-s2.0-85150018344
VBS COBISS: 113513225
URI: https://plus.cobiss.net/cobiss/sr/sr/bib/113513225#izum.si
https://rfos.fon.bg.ac.rs/handle/123456789/2540
https://enauka.gov.rs/handle/123456789/756603
Project: Thanks in advance for the entire worker in this project, and the people who support in any way, also we want to thank Royal School of Mines, Imperial College London for the support which came from them.
M-category: 
21aM21a

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