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An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation

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  • Almulhim, Tarifa
  • Barahona, Igor

Abstract

The high contagion rates of COVID-19 and the limited amounts of vaccines forced public health authorities to develop vaccinations strategies for minimizing mortality, avoiding the collapse of health care infrastructure, and reducing their negative impacts to societies and economies. We propose a Multi Criteria Group Decision Making for prioritizing a set of COVID-19 vaccination alternatives, under a picture fuzzy environment, where the weights for Decisions Experts (DE) and criteria are unknown. A panel of six DEs assess six criteria for prioritizing four groups for vaccination. The weights for DE and criteria are handled in the form of fuzzy sets. Three types of weights are calculated: subjective, objective, and mixture weights.

Suggested Citation

  • Almulhim, Tarifa & Barahona, Igor, 2023. "An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122002361
    DOI: 10.1016/j.seps.2022.101435
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    References listed on IDEAS

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