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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Citations
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
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Cited by
Rodríguez, R. M., Martı́nez, L., & Herrera, F. (2013) · Information Sciences · doi:10.1016/j.ins.2013.04.006 · Cited by 567
Self-citationZhang, X. (2016) · Information Sciences · doi:10.1016/j.ins.2015.10.012 · Cited by 459
Wang, J.-Q., Wu, J.-T., Wang, J., Zhang, H.-Y., & Chen, X.-H. (2014) · Information Sciences · doi:10.1016/j.ins.2014.07.034 · Cited by 377
Zhang, H., Zhao, S., Kou, G., Li, C.-C., Dong, Y., & Herrera, F. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.03.001 · Cited by 355
Self-citationDing, 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
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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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