The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Rough classification
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
Pawlak, Z. (1982) · International Journal of Computer & Information Sciences · doi:10.1007/bf01001956 · Cited by 12,322
Self-citationInformation systems theoretical foundations
Pawlak, Z. (1981) · Information Systems · doi:10.1016/0306-4379(81)90023-5 · Cited by 665
Self-citationClassification of objects by means of attributes
Pawlak, Z. (1981) · Our Digital Library (Warsaw University of Technology) · Cited by 106
Self-citation
Cited by
Pawlak, Z., & Skowron, A. (2007) · Information Sciences · doi:10.1016/j.ins.2006.06.003 · Cited by 2,070
Self-citationUniqueness of medical data mining
Cios, K. J., & William Moore, G. (2002) · Artificial Intelligence in Medicine · doi:10.1016/s0933-3657(02)00049-0 · Cited by 639
A decision theoretic framework for approximating concepts
Yao, Y. Y., & Wong, S. K. M. (1992) · International Journal of Man-Machine Studies · doi:10.1016/0020-7373(92)90069-w · Cited by 608
Artificial intelligence in supply chain management: theory and applications
Min, H. (2010) · International Journal of Logistics Research and Applications · doi:10.1080/13675560902736537 · Cited by 573
Developing a bankruptcy prediction model via rough sets theory
McKee, T. E. (2000) · Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management · doi:10.1002/1099-1174(200009)9:3<159::aid-isaf184>3.0.co;2-c · Cited by 139
Metadata
- Authors
- Pawlak, Z.
- Venue
- International Journal of Man-Machine Studies
- Publisher
- Elsevier BV
- Published
- 1984-05
- Volume
- 20
- Issue
- 5
- Pages
- 469-483
- ISSN
- 0020-7373 (ISSN-L)
- OpenAlex
- W2990482619
- Cited by
- 554
- References
- 3
- FWCI
- 7.08
- 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 ›
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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: Rough classification. https://app.cochat.ai/papers/10.1016/s0020-7373(84)80022-x
- The paper
- Pawlak, Z. (1984). Rough classification. International Journal of Man-Machine Studies. https://doi.org/10.1016/s0020-7373(84)80022-x
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.
