The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Hesitant fuzzy ELECTRE II approach: A new way to handle multi-criteria decision making problems
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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
Some remarks on the notion of compensation in MCDM
Bouyssou, D. (1986) · European Journal of Operational Research · doi:10.1016/0377-2217(86)90167-0 · Cited by 231
Cited by
Fundamental Properties of Interval-Valued Pythagorean Fuzzy Aggregation Operators
Peng, X., & Yang, Y. (2016) · International Journal of Intelligent Systems · doi:10.1002/int.21790 · Cited by 537
Çolak, M., & Kaya, İ. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.194 · Cited by 312
Metadata
- Authors
- Chen, N., & Xu, Z.
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 292
- Pages
- 175-197
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W2046952409
- Cited by
- 173
- References
- 2
- FWCI
- 16.84
- 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.
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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 ELECTRE II approach: A new way to handle multi-criteria decision making problems. https://app.cochat.ai/papers/10.1016/j.ins.2014.08.054
- The paper
- Chen, N., & Xu, Z. (2015). Hesitant fuzzy ELECTRE II approach: A new way to handle multi-criteria decision making problems. Information Sciences. https://doi.org/10.1016/j.ins.2014.08.054
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.
