The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hesitant fuzzy sets
Abstract
Several extensions and generalizations of fuzzy sets have been introduced in the literature, for example, Atanassov's intuitionistic fuzzy sets, type 2 fuzzy sets, and fuzzy multisets. In this paper, we propose hesitant fuzzy sets. Although from a formal point of view, they can be seen as fuzzy multisets, we will show that their interpretation differs from the two existing approaches for fuzzy multisets. Because of this, together with their definition, we also introduce some basic operations. In addition, we also study their relationship with intuitionistic fuzzy sets. We prove that the envelope of the hesitant fuzzy sets is an intuitionistic fuzzy set. We prove also that the operations we propose are consistent with the ones of intuitionistic fuzzy sets when applied to the envelope of the hesitant fuzzy sets. © 2010 Wiley Periodicals, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Atanassov, K. T. (1986) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(86)80034-3 · Cited by 16,465
Cited by
Distance and similarity measures for hesitant fuzzy sets
Xu, Z., & Xia, M. (2011) · Information Sciences · doi:10.1016/j.ins.2011.01.028 · Cited by 1,122
INTUITIONISTIC FUZZY EDAS METHOD: AN APPLICATION TO SOLID WASTE DISPOSAL SITE SELECTION
KAHRAMAN, C., KESHAVARZ GHORABAEE, M., ZAVADSKAS, E. K., CEVIK ONAR, S., YAZDANI, M., & OZTAYSI, B. (2017) · Journal of Environmental Engineering and Landscape Management · doi:10.3846/16486897.2017.1281139 · Cited by 341
Çolak, M., & Kaya, İ. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.194 · Cited by 312
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
Sustainability 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
Metadata
- Authors
- Torra, V.
- Venue
- International Journal of Intelligent Systems
- Publisher
- Hindawi Limited
- Published
- 2010
- Pages
- n/a-n/a
- ISSN
- 0884-8173 (ISSN-L)
- 1098-111X
- OpenAlex
- W2131390763
- Cited by
- 2,322
- References
- 1
- FWCI
- 39.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hesitant fuzzy sets. https://app.cochat.ai/papers/10.1002/int.20418
- The paper
- Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems. https://doi.org/10.1002/int.20418
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.