Application of type-2 heptagonal fuzzy sets with multiple operators in multi-criteria decision-making for identifying risk factors of Zika virus.

Journal: BMC infectious diseases

PMID: 40169983

Abstract

PURPOSE: This study aims to identify and rank the key risk factors associated with the Zika virus by leveraging a novel multi-criteria decision-making (MCDM) framework based on type-2 heptagonal fuzzy sets. By integrating advanced aggregation operators, the framework effectively addresses uncertainties in expert assessments and enhances decision-making reliability.

Authors

M Sheela Rani

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India.
S Dhanasekar

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, 600127, Tamilnadu, India. dhanasekar.sundaram@vit.ac.in.

Keywords

Decision Making Female Fuzzy Logic Humans Reproducibility of Results Risk Assessment Risk Factors Zika Virus Zika Virus Infection

External Resources

View on PubMed Access via DOI PubMed (40169983)

Application of type-2 heptagonal fuzzy sets with multiple operators in multi-criteria decision-making for identifying risk factors of Zika virus.

Abstract

Authors

Keywords

External Resources

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