The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Interval-Valued Intuitionistic Fuzzy Sets
Overview
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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
Self-citation
Cited by
Dynamic intuitionistic fuzzy multi-attribute decision making
Xu, Z., & Yager, R. R. (2008) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2007.08.008 · Cited by 594
Cường, B. C. (2015) · Journal of Computer Science and Cybernetics · doi:10.15625/1813-9663/30/4/5032 · Cited by 875
Zhang, X. (2016) · Information Sciences · doi:10.1016/j.ins.2015.10.012 · Cited by 459
Wei, G. (2017) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-161798 · Cited by 435
RetractedThe interval-valued fuzzy TOPSIS method and experimental analysis
Chen, T.-Y., & Tsao, C.-Y. (2008) · Fuzzy Sets and Systems · doi:10.1016/j.fss.2007.11.004 · Cited by 409
Metadata
- Authors
- Atanassov, K. T.
- Venue
- Studies in Fuzziness and Soft Computing
- Publisher
- Springer International Publishing
- Published
- 2020
- ISSN
- 1434-9922 (ISSN-L)
- 1860-0808
- OpenAlex
- W2076808107
- Cited by
- 1,822
- References
- 1
- FWCI
- 62.54
- Type
- book
- Language
- en
- Open access
- closed
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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
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- CoChat. (2026). Citation check: Interval-Valued Intuitionistic Fuzzy Sets. https://app.cochat.ai/papers/10.1007/978-3-030-32090-4
- The paper
- Atanassov, K. T. (2020). Interval-Valued Intuitionistic Fuzzy Sets. Studies in Fuzziness and Soft Computing. https://doi.org/10.1007/978-3-030-32090-4
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.
