A complex fuzzy decision model for analysing the post-pandemic immuno-sustainability.
Acta Trop
; 256: 107261, 2024 Aug.
Article
em En
| MEDLINE
| ID: mdl-38772435
ABSTRACT
The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biological factors. Similarly, the effects of vaccination on people's immunity vary across several factors. After the pandemic, real-life post-vaccination anomalies significantly impact women's health, access to medical treatments and medications, mental well-being, and daily physical activities. However, there has been scant investigation into the physical, psychological, social, and economic ramifications of vaccine effects on women in the post-pandemic era. Therefore, conducting a comprehensive risk assessment is crucial to safeguard women from the post-vaccination effects.To address this issue, the research encompasses complex bipolar spherical fuzzy âµ-soft set, which has two-sided periodic ambiguous data due to its parametric properties as an adaptable âµ-soft set and distinguishing criteria as a complex bipolar spherical fuzzy set. In addition, some fundamental operations and properties are presented in a complex bipolar spherical fuzzy âµ-soft environment. Furthermore, the robust assessment of a real-world application demonstrate the efficacy of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach to optimise the decision result. Finally, the provided decision-making approach is compared with existing techniques to illustrate their remarkable credibility and integrity.
Palavras-chave
Texto completo:
1
Temas:
ECOS
/
Financiamentos_gastos
Bases de dados:
MEDLINE
Assunto principal:
Lógica Fuzzy
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SARS-CoV-2
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COVID-19
Limite:
Female
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Humans
Idioma:
En
Revista:
Acta Trop
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Índia