A fuzzy NoVaRM vaccine selection decision-making model for Covid-19 : A case study in India
*I. LekshmiCorresponding authorlekshmiindira21@gmail.comDepartment of MathematicsMar Baselios College of Engineering and TechnologyThiruvananthapuram, Kerala, India0000-0003-3174-4179View full profile → , M. Regeesregeesregees@gmail.comDepartment of MathematicsMalankara Catholic CollegeKaliyakkavilai, Tamil Nadu, 629153, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Feb 2023
- Published Online:
- 07 Sep 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1842
- Pages:
- 1–13
Abstract
The SARS-CoV-2 virus causes coronavirus disease (Covid-19), an infectious disease that has recently become a major problem for nations all over the world. Vaccines are effective interventions for fighting a pandemic. The selection of vaccines is a pressing problem for public health authorities. Multi-Criteria Decision-Making (MCDM) is the best technique to offer a suitable solution. Here, in this research paper, we propose a new Fuzzy decision-making technique called the Fuzzy Normalized Value-based Ranking Method (F-NoVaRM) that could lead to the acceptance or rejection of a vaccine from several vaccine alternatives based on certain criteria such as feasibility, efficacy, age, price, and the interval between the doses.
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References
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