The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Hesitant Fuzzy Linguistic Term Sets for Decision Making
Open accessAbstract
Dealing with uncertainty is always a challenging problem, and different tools have been proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has been presented to manage situations in which experts hesitate between several values to assess an indicator, alternative, variable, etc. Hesitant fuzzy sets suit the modeling of quantitative settings; however, similar situations may occur in qualitative settings so that experts think of several possible linguistic values or richer expressions than a single term for an indicator, alternative, variable, etc. In this paper, the concept of a hesitant fuzzy linguistic term set is introduced to provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms. Then, a multicriteria linguistic decision-making model is presented in which experts provide their assessments by eliciting linguistic expressions. This decision model manages such linguistic expressions by means of its representation using hesitant fuzzy linguistic term sets.
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Cites
Atanassov, K. T. (1986) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(86)80034-3 · Cited by 16,465
A 2-tuple fuzzy linguistic representation model for computing with words
Martinez, L., & Herrera, F. (2000) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.890332 · Cited by 2,662
Self-citation
Cited by
Zhang, X. (2016) · Information Sciences · doi:10.1016/j.ins.2015.10.012 · Cited by 459
Ding, R.-X., Palomares, I., Wang, X., Yang, G.-R., Liu, B., Dong, Y., Herrera-Viedma, E., & Herrera, F. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.01.006 · Cited by 301
Self-citationSustainability analysis of different hydrogen production options using hesitant fuzzy AHP
Acar, C., Beskese, A., & Temur, G. T. (2018) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2018.08.024 · Cited by 197
Yavuz, M., Oztaysi, B., Cevik Onar, S., & Kahraman, C. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.11.010 · Cited by 179
Adem, A., Çolak, A., & Dağdeviren, M. (2018) · Safety Science · doi:10.1016/j.ssci.2018.02.033 · Cited by 63
Metadata
- Authors
- Rodriguez, R. M., Martinez, L., & Herrera, F.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2012-02
- Volume
- 20
- Issue
- 1
- Pages
- 109-119
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W1978062397
- Cited by
- 2,328
- References
- 2
- FWCI
- 71.10
- Type
- journal article
- Language
- en
- Open access
- green
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- Rodriguez, R. M., Martinez, L., & Herrera, F. (2012). Hesitant Fuzzy Linguistic Term Sets for Decision Making. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/tfuzz.2011.2170076
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