A Fermatean fuzzy MCDM method for selection and ranking Problems: Case studies
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Fuzzy TOPSIS has become one of the most prominent methods for solving MCDM problems.
“It has become one of the most prominent methods for solving MCDM problems59,60.”
From A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems (2025) · cites this paper as [60]
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“The degree of membership specifies the ambiguity of the information; it is not the same as likelihood (Aydog ˘ an and Ozkir 2024).”
Marković, S., Petrović, N., Jovanović, V., Šimić, V., & Marinković, D. (2026) · Applied Sciences · doi:10.3390/app16189189
- Authors
- Aydoğan, H., & Ozkir, V.
- Affiliations
- Bartin University (TR)
- Corresponding author
- Aydoğan, Hakan
- ORCID
- Aydoğan, Hakan
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 237
- Pages
- 121628
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W4386852124
- Cited by
- 59
- References
- 50
- Citations by year
- 2026: 15 · 2025: 26 · 2024: 17 · 2023: 1
- FWCI
- 10.88
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Expert Systems with Applications (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Yildiz Technical University - AVESIS (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Social Sciences › Decision Sciences › Management Science and Operations Research › Fuzzy and Soft Set Theory
- Physical Sciences › Engineering › Control and Systems Engineering › Optimization and Mathematical Programming
- Keywords
- Fermatean fuzzy sets, multi-criteria decision making, intuitionistic fuzzy sets, triangular fuzzy numbers, university rankings, facility location, beverage industry, decision making under uncertainty, criteria weighting
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