The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques
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
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Kosko, B. (1986) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(86)80040-2 · Cited by 3,576
Data mining and knowledge discovery in databases
Fayyad, U., & Uthurusamy, R. (1996) · Communications of the ACM · doi:10.1145/240455.240463 · Cited by 590
Research works printed but not linked: 40
- Zurada, 2004, Computational intelligence methods for rule-based data understanding, Proc. IEEE Int. Conf. Neural Networks, 92, 771
- Mitra, 2000, Neuro-Fuzzy rule generation: survey in soft computing, IEEE Trans. Neural Networks, 11, 748, 10.1109/72.846746 · DOI · Paper page
- Chen, 2002, Fuzzy association rules and the extended mining algorithms, Inform. Sci., 147, 201, 10.1016/S0020-0255(02)00264-5 · DOI
- Wells, 1998, A medical expert system approach using artificial neural networks for standardized treatment planning, Int. J. Radiat. Oncol. Biol. Phys., 41, 173, 10.1016/S0360-3016(98)00035-2 · DOI
- Nauck, 1999, Obtaining interpretable fuzzy classification rules from medical data, Artif. Intell. Med., 16, 149, 10.1016/S0933-3657(98)00070-0 · DOI · Paper page
- Kurgan, 2006, A survey on knowledge discovery and data mining processes, Knowledge Eng. Rev., 21, 1, 10.1017/S0269888906000737 · DOI · Paper page
- D. Fletcher, D. Nguyen, K. Cios, Autonomous Synthesis of Fuzzy Cognitive Maps from Observational Data: Preliminaries, IEEEAC Paper #1451, pp. 1–9, 2005. · doi:10.1109/aero.2005.1559615
- Papageorgiou, 2003, An integrated two-level hierarchical decision making system based on fuzzy cognitive maps (FCMs), IEEE Trans. Biomed. Eng., 50, 1326, 10.1109/TBME.2003.819845 · DOI · Paper page
- V. Georgopoulos, C.D. Stylios, Augmented fuzzy cognitive maps supplemented with case base reasoning for advanced medical decision support, in: M. Nikravesh, L.A. Zadeh, J. Kacprzyk (Eds.), Studies in Fuzziness and Soft Computing Soft Computing for Information Processing and Analysis Enhancing the Power of the Information Technology, Springer-Verlag, ISBN: 3-540-22930-2, 2005, pp. 391–405. · DOI
- Papageorgiou, 2006, Advanced soft computing diagnosis method for tumor grading, Artif. Intell. Med., 36, 59, 10.1016/j.artmed.2005.04.001 · DOI
- E.I. Papageorgiou, C.D. Stylios, P.P. Groumpos, A combined fuzzy cognitive map and decision trees model for medical decision making, Proceedings of the 28th IEEE EMBS Annual Intern. Conference in Medicine and Biology Society, EMBS 2006, 30 Aug.–3 Sept., New York, USA, 2006b, pp. 6117–6120. · DOI
- E.I. Papageorgiou, C.D. Stylios, P.P. Groumpos, Novel architecture for supporting medical decision making of different data types based on Fuzzy Cognitive Map Framework, Proc. of 29th IEEE EMBS Annual Intern. Conference in Medicine and Biology Society, 2007, 21–23 August 2007, Lyon, France, EMBS 2007. · doi:10.1109/iembs.2007.4352510
- Papageorgiou, 2008, Brain tumour characterization using the soft computing technique of fuzzy cognitive maps, Appl. Soft Comput., 8, 820, 10.1016/j.asoc.2007.06.006 · DOI · Paper page
- Georgopoulos, 2008, Complementary case-based reasoning and competitive fuzzy cognitive maps for advanced medical decisions, Soft Comput., 12, 191, 10.1007/s00500-007-0194-7 · doi:10.1007/s00500-007-0194-7
- Stylios, 2008, Spyridoula Chouliara: fuzzy cognitive map architectures for medical decision support systems, Appl. Soft Comput., 8, 1243, 10.1016/j.asoc.2007.02.022 · DOI · Paper page
- Groumpos, 2000, Modeling supervisory control systems using fuzzy cognitive maps, Chaos, Solitons Fractals, 11, 329, 10.1016/S0960-0779(98)00303-8 · DOI
- Stylios, 2004, Modeling complex systems using fuzzy cognitive maps, IEEE Trans. Syst., Man Cybern. Part A, 34, 155, 10.1109/TSMCA.2003.818878 · DOI · Paper page
- Miao, 2000, On causal inference in fuzzy cognitive maps, IEEE Trans. Fuzzy Syst., 8, 107, 10.1109/91.824780 · DOI · Paper page
- E.I. Papageorgiou, Medical decision making through fuzzy computational intelligent approaches, Lecture Notes in Computer Science/LNAI 5722, pp. 99–108, 2009. · doi:10.1007/978-3-642-04125-9_13
- E.I. Papageorgiou, N.I. Papandrianos, G. Karagianni, G. Kyriazopoulos, D. Sfyras, A fuzzy cognitive map based tool for prediction of infectious diseases, Proceeding of FUZZ-IEEE 2009, World Congress, 24–27 August 2009, Korea. · DOI
- Fu, 1993, Knowledge-based connectionism for revising domain theories, IEEE Trans. Syst. Man Cybern., 23, 173, 10.1109/21.214775 · DOI
- R. Andrews, S. Geva, Refining expert knowledge with an artificial neural network, in: Kasabov et al., Proc. of the International Conference on Neural Information Processing (ICONIP’97), pp. 847–850, Springer, 1997.
- Mitra, 1994, Logical operation based fuzzy MLP for classification and rule generation, Neural Networks, 7, 353, 10.1016/0893-6080(94)90029-9 · doi:10.1016/0893-6080(94)90029-9
- Pedrycz, 2000, Designing decision trees with the use of fuzzy granulation, IEEE Trans. Syst. Man Cybern. A, 30, 151, 10.1109/3468.833095 · doi:10.1109/3468.833095
- Sison, 1994, Fuzzy modeling by induction and pruning of decision trees, IEEE Symp. Intelligent Control U.S.A., 166
- Olaru, 2003, A complete fuzzy decision tree technique, Fuzzy Sets Syst., 138, 221, 10.1016/S0165-0114(03)00089-7 · DOI · Paper page
- Crockett, 2006, On constructing a fuzzy inference framework using crisp decision trees, Fuzzy Sets Syst., 157, 2809, 10.1016/j.fss.2006.06.002 · doi:10.1016/j.fss.2006.06.002
- Janikow, 1998, Fuzzy decision trees: issues and methods, IEEE Trans. Syst. Man Cybern. Part B (Cybernetics), 28, 1, 10.1109/3477.658573 · DOI
- Abonyi, 2005, Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series, Fuzzy Sets and Systems, Data Mining Special Issue, 149, 39
- F.P. Pach, J. Abonyi, Association rule and decision tree based methods for fuzzy rule base generation, Trans. Eng. Comput. Technol., 13, ISSN 1305-5313 (2006).
- Gath, 1989, Unsupervised optimal fuzzy clustering, IEEE Trans. Pattern Analysis Machine Intell., 7, 773, 10.1109/34.192473 · DOI · Paper page
- Wang, 1999, Generating fuzzy rules by learning from examples, IEEE Trans. Syst. Man Cybern., 22, 1227
- E.I. Papageorgiou, A model for dose calculation in treatment planning using pencil beam kernels, M.Sc. Thesis, June 2000, Medical University Hospital of Patras, Greece.
- Armstrong, 2002, Three-dimensional conformal radiation therapy: evidence-based treatment of prostate cancer, Radiotherapy Oncol., vol.64, 235, 10.1016/S0167-8140(02)00188-3 · doi:10.1016/s0167-8140(02)00188-3
- Papageorgiou, 2005, A weight adaptation method for fine-tuning Fuzzy Cognitive Map causal links, Soft Comput. J., 9, 846, 10.1007/s00500-004-0426-z · DOI
- Papageorgiou, 2005, A new hybrid method using evolutionary algorithms to train fuzzy cognitive maps, Appl. Soft Comput., 5, 409, 10.1016/j.asoc.2004.08.008 · DOI
- Prade, 1996, What are fuzzy rules and how to use them, Fuzzy Sets Syst., 84, 169, 10.1016/0165-0114(96)00066-8 · DOI · Paper page
- W. Stach, L. Kurgan, W. Petrycz, A framework for a novel scalable FCM learning method, Proceedings of the 2007 Symposium on Human-Centric Computing and Data Processing (HCDP07), February 21–23, Canada 2007, pp. 13–14.
- Towell, 1993, Extracting refined rules from knowledge-based neural networks, Machine Learn., 131, 71, 10.1023/A:1022683529158 · DOI · Paper page
- M. Umano, H. Okamoto, I. Hatono, H. Tamura, Generation of fuzzy decision trees by fuzzy ID3 algorithm and its application to diagnosis by gas in oil, Japan–U.S.A. Symposium, 1994, pp. 1445–1450.
Cited by
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G.-Z., Zhao, N., & Zhang, Y.-T. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 722
A Review of Fuzzy Cognitive Maps Research During the Last Decade
Papageorgiou, E. I., & Salmeron, J. L. (2013) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2201727 · Cited by 522
Self-citationThe 2017 IEEE International Conference on Fuzzy Systems
(2016) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2016.2545826 · Cited by 308
Papageorgiou, E. I., Markinos, A. T., & Gemtos, T. A. (2011) · Applied Soft Computing · doi:10.1016/j.asoc.2011.01.036 · Cited by 157
Self-citation
Metadata
- Authors
- Papageorgiou, E. I.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 11
- Issue
- 1
- Pages
- 500-513
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W2010871295
- Cited by
- 247
- References
- 3
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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: A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. https://app.cochat.ai/papers/10.1016/j.asoc.2009.12.010
- The paper
- Papageorgiou, E. I. (2011). A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2009.12.010
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.