1. Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses.
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Albahri, A.S., Albahri, O.S., Zaidan, A.A., Alnoor, Alhamzah, Alsattar, H.A., Mohammed, Rawia, Alamoodi, A.H., Zaidan, B.B., Aickelin, Uwe, Alazab, Mamoun, Garfan, Salem, Ahmaro, Ibraheem Y.Y., and Ahmed, M.A.
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COVID-19 vaccines , *COVID-19 pandemic , *MULTIPLE criteria decision making , *COVID-19 , *FUZZY sets - Abstract
• Formulated an extension of FWZIC method under fuzzy environment q-ROFS were called q-ROFWZIC. • Formulated an extension of FDOSM under fuzzy environment q-ROFS were called q-ROFDOSM. • Developed an integration between q-ROFWZIC method and q-ROFDOSM. • Performed the proposed Integration Methods on a Case Study of COVID-19 Vaccine Distribution Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q-ROFS), which eliminates restrictions encountered by decision-makers in multicriteria decision making (MCDM) methods and facilitates the representation of complex uncertain information in real-world circumstances. Given its advantages and flexibility, this study has extended two considerable MCDM methods the fuzzy-weighted zero-inconsistency (FWZIC) method and fuzzy decision by opinion score method (FDOSM) under the fuzzy environment of q-ROFS. The extensions were called q-rung orthopair fuzzy-weighted zero-inconsistency (q-ROFWZIC) method and q-rung orthopair fuzzy decision by opinion score method (q-ROFDOSM). The methodology formulated had two phases. The first phase 'development' presented the sequential steps of each method thoroughly.The q-ROFWZIC method was formulated and used in determining the weights of evaluation criteria and then integrated into the q-ROFDOSM for the prioritisation of alternatives on the basis of the weighted criteria. In the second phase, a case study regarding the MCDM problem of coronavirus disease 2019 (COVID-19) vaccine distribution was performed. The purpose was to provide fair allocation of COVID-19 vaccine doses. A decision matrix based on an intersection of 'recipients list' and 'COVID-19 distribution criteria' was adopted. The proposed methods were evaluated according to systematic ranking assessment and sensitivity analysis, which revealed that the ranking was subject to a systematic ranking that is supported by high correlation results over different scenarios with variations in the weights of criteria. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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