Hesitant fuzzy linguistic term sets
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Hesitant fuzzy numbers provide an effective solution in cases where experts are unable to determine the superiority of one option over another.
“A key distinguishing feature of hesitant fuzzy numbers compared to other scales based on fuzzy numbers is that they provide an effective solution in cases where experts are unable to determine the superiority of one option over another [22], [49].”
From Trustworthiness Evaluation of Large Language Models Using Multi-Criteria Decision Making (2025) · cites this paper as [49]
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Trustworthiness Evaluation of Large Language Models Using Multi-Criteria Decision Making
Aksoy, M., Adem, A., & Dağdeviren, M. (2025) · IEEE Access · doi:10.1109/access.2025.3612568 · Cited by 10 · see citing works
“A key distinguishing feature of hesitant fuzzy numbers compared to other scales based on fuzzy numbers is that they provide an effective solution in cases where experts are unable to determine the superiority of one option over another [22], [49].”
- Authors
- Rodríguez, R. M., Martínez, L., & Herrera, F.
- Affiliations
- Universidad de Jaén (ES)
- Universidad de Granada (ES)
- Venue
- Advances in Intelligent and Soft Computing
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 287-295
- ISSN
- 1867-5662 (ISSN-L)
- 1867-5670
- OpenAlex
- W120839107
- Cited by
- 62
- References
- 0
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 9 · 2020: 9 · 2019: 6 · 2018: 7 · 2017: 10 · 2016: 1 · 2015: 4 · 2014: 6
- FWCI
- 6.23
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in intelligent and soft computing (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 › Artificial Intelligence › Fuzzy Logic and Control Systems
- Keywords
- hesitant fuzzy linguistic term sets, hesitant fuzzy sets, language elicitation, fuzzy linguistic approach, context-free grammars, language assessment, imprecise data
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