A hybrid novel SWARA-ELECTRE-I method using probabilistic uncertain linguistic information for feature selection in image recognition
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SWARA does not require calculations for each expert.
“Finally, considering SWARA, another advantage of the method is that it does not require calculations for each expert46.”
From Introducing the comparative weighting evaluation based on the best criteria method: a multi-fuzzy framework for aviation fuel efficiency (2025) · cites this paper as [46]
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- Authors
- Naz, S., Butt, S. A., ul Hassan, M. M., Escorcia-Gutierrez, J., Fatima, A., & ul Ain, F.
- Affiliations
- University of Education (PK)
- Gdańsk University of Technology (PL)
- Corresponding author
- Butt, Shariq Aziz
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2025-01
- Volume
- 612
- Pages
- 128615
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W4403471456
- Cited by
- 17
- References
- 45
- Citations by year
- 2026: 8 · 2025: 9
- FWCI
- 5.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neurocomputing (publishedVersion)
- 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 › Computer Science › Computational Theory and Mathematics › Rough Sets and Fuzzy Logic
- Keywords
- feature selection, image recognition, dimensionality reduction, uncertain linguistic information, SWARA, ELECTRE I, multi-attribute group decision making, feature weighting, multi-criteria decision making
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