New Entropy Measure for Fermatean Fuzzy Set Using COPRAS Approach for Selection of Antivirus
Fermantean Fuzzy Set (FFS) is the extension of both Intuitionistic Fuzzy Set(IFS) and Pythagorean Fuzzy set(PFS) as it overcomes its limitations. This paper introduces novel entropy measures for FFS, outlining their definition and validating various related properties. Multi-Criteria Decision Making (MCDM) is a approach employed to assess multiple factors in decision-making, often incorporating insights from experienced professionals. Entropy-based decision-making is beneficial since higher entropy reduces uncertainty. This paper provides a numerical example to compare our novel entropy measure with existing entropy measures of IFS, validating the results using the Complex Proportional Assessment (COPRAS) method.
Authors
- Sunil Kumar (ORCID: https://orcid.org/0000-0003-3412-301X)
- Sonia Sonia
- Sahil Kashyap (ORCID: https://orcid.org/0009-0006-6285-5946)
- Hemant Azta
Institutions
- Shoolini University (IN)
Publication Details
- Published
- 2025-04-02
- DOI
- https://doi.org/10.23919/indiacom66777.2025.11115201
- Primary Topic
- Fuzzy Systems and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00