The DOI matches its Crossref record.
Entropy, distance measure and similarity measure of fuzzy sets and their relations
Overview
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Citations
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
On distance and correlation measures of hesitant fuzzy information
Xu, Z., & Xia, M. (2011) · International Journal of Intelligent Systems · doi:10.1002/int.20474 · Cited by 485
Ye, J. (2014) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/ifs-120724 · Cited by 421
A Novel Prediction Model for Multimodal Medical Data Based on Graph Neural Networks
Zhang, L., Li, T., Cui, H., Zhang, Q., Jiang, Z., Li, J., Welsch, R. E., & Jia, Z. (2025) · Machine Learning and Knowledge Extraction · doi:10.3390/make7030092 · Cited by 4
Metadata
- Authors
- Xuecheng, L.
- Venue
- Fuzzy Sets and Systems
- Publisher
- Elsevier BV
- Published
- 1992-12
- Volume
- 52
- Issue
- 3
- Pages
- 305-318
- ISSN
- 0165-0114 (ISSN-L)
- OpenAlex
- W2056021265
- Cited by
- 576
- References
- 0
- FWCI
- 1.22
- 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: Entropy, distance measure and similarity measure of fuzzy sets and their relations. https://app.cochat.ai/papers/10.1016/0165-0114(92)90239-z
- The paper
- Xuecheng, L. (1992). Entropy, distance measure and similarity measure of fuzzy sets and their relations. Fuzzy Sets and Systems. https://doi.org/10.1016/0165-0114(92)90239-z
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.
