Integration of FDOSM and FWZIC Under Homogeneous Fermatean Fuzzy Environment: A Prioritization of COVID-19 Patients for Mesenchymal Stem Cell Transfusion

H. A. Alsattar, Sara Qahtan, R. T. Mohammed, A. A. Zaidan, O. S. Albahri, Gang Kou, A. H. Alamoodi, A. S. Albahri, B. B. Zaidan, Mohammed S. Al-Samarraay, R. Q. Malik and Ali Najm Jasim
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H. A. Alsattar: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia†Department of Business Administration, College of Administrative Science, The University of Mashreq, 10021 Baghdad, Iraq
Sara Qahtan: ��Department of Computer Center, Middle Technical University’s, Baghdad, Iraq
R. T. Mohammed: �Department of Computing Science, Komar University of Science and Technology (KUST), Sulaymaniyah, Iraq
A. A. Zaidan: �Faculty of Engineering & IT, The British University in Dubia, United Arab Emirates
O. S. Albahri: ��Computer Techniques Engineering Department, Mazaya University College, Nassiriya, Thi-Qar, Iraq
Gang Kou: *School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China
A. H. Alamoodi: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
A. S. Albahri: ��†Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq
B. B. Zaidan: ��‡Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan
Mohammed S. Al-Samarraay: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
R. Q. Malik: �§Medical Instrumentation Techniques Engineering Department, Al-Mustaqbal University College, Babylon, Iraq
Ali Najm Jasim: �¶Foundation of Alshuhda, Baghdad, Iraq

International Journal of Information Technology & Decision Making (IJITDM), 2024, vol. 23, issue 04, 1559-1599

Abstract: Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 patients for MSC transfusion based on multiple criteria is considered a multi-attribute decision-analysis (MADA) problem. Although literature reviews have assessed the prioritization of COVID-19 patients for MSCs, issues arising from imprecise, unclear and ambiguous information remain unresolved. Compared with the existing MADA methods, the robustness of the fuzzy decision by opinion score method (FDOSM) and fuzzy-weighted zero inconsistency (FWZIC) is proven. This study adopts and integrates FDOSM and FWZIC in a homogeneous Fermatean fuzzy environment for criterion weighting followed by the prioritization of the most eligible COVID-19 patients for MSC transfusion. The research methodology had two phases. The decision matrices of three COVID-19 emergency levels (moderate, severe, and critical) were adopted based on an augmented dataset of 60 patients and discussed in the first phase. The second phase was divided into two subsections. The first section developed Fermatean FWZIC (F-FWZIC) to weigh criteria across each emergency level of COVID-19 patients. These weights were fed to the second section on adopting Fermatean FDOSM (F-FDOSM) for the purpose of prioritizing COVID-19 patients who are the most eligible to receive MSCs. Three methods were used in evaluating the proposed works, and the results included systematic ranking, sensitivity analysis, and benchmarking checklist.

Keywords: Mesenchymal stem cells; MSCs; multi-attribute decision-analysis; Fermatean fuzzy sets; F-FWZIC; F-FDOSM (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0219622022500511

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