Vassia Atanassova: 30 > 31

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Vassia Atanassova: Created page with "{{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{issue/title | title = k-NN intuitionistic fuzzy classifier | shortcut = nifs/30/4/496-510 }} {{issue/author | author = Eulalia Szmidt | institution = Systems Research Institute, Polish Academy of Sciences | address = ul. Newelska 6, 01-447 Warsaw, Pola..."

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Created page with "{{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{issue/title | title = k-NN intuitionistic fuzzy classifier | shortcut = nifs/30/4/496-510 }} {{issue/author | author = Eulalia Szmidt | institution = Systems Research Institute, Polish Academy of Sciences | address = ul. Newelska 6, 01-447 Warsaw, Pola..."

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[[Category:Publications on intuitionistic fuzzy sets|{{PAGENAME}}]]
[[Category:Publications in Notes on IFS|{{PAGENAME}}]]
[[Category:Publications in 2025 year|{{PAGENAME}}]]
{{issue/title
| title = k-NN intuitionistic fuzzy classifier
| shortcut = nifs/30/4/496-510
}}
{{issue/author
| author = Eulalia Szmidt
| institution = Systems Research Institute, Polish Academy of Sciences
| address = ul. Newelska 6, 01-447 Warsaw, Poland
| institution-2 = WIT Academy
| address-2 = ul. Newelska 6, 01-447 Warsaw, Poland
| email-before-at = szmidt
| email-after-at = ibspan.waw.pl
| orcid = 0000-0003-2192-6905
}}
{{issue/author
| author = Janusz Kacprzyk
| institution = Systems Research Institute, Polish Academy of Sciences
| address = ul. Newelska 6, 01-447 Warsaw, Poland
| institution-2 = WIT Academy
| address-2 = ul. Newelska 6, 01-447 Warsaw, Poland
| email-before-at = kacprzyk
| email-after-at = ibspan.waw.pl
| orcid = 0000-0003-4187-5877
}}
{{issue/author
| author = Paweł Bujnowski
| institution = Systems Research Institute, Polish Academy of Sciences
| address = ul. Newelska 6, 01-447 Warsaw, Poland
| email-before-at = pbujno
| email-after-at = ibspan.waw.pl
| orcid = 0000-0001-9215-0046
}}
{{issue/data
| issue = [[Notes on Intuitionistic Fuzzy Sets/31/4|Notes on Intuitionistic Fuzzy Sets, Volume 31 (2025), Number 4]], pages 496–510
| doi = https://doi.org/10.7546/nifs.2025.31.4.496-510
| file = NIFS-31-4-496-510.pdf
| format = PDF
| size = 241
| abstract = The k-NN (k-Nearest Neighbor) classifier is one of the commonly used classifiers. We present a modification of this classifier based on Atanassov's intuitionistic fuzzy sets (IFSs, for short). We show, using benchmark data from ''UCI Machine Learning Repository'', that the classifier we propose achieves very good results.
| keywords = Intuitionistic fuzzy sets, Classification, k-NN classifier. | ams = 03E72.
| references =
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# Szmidt, E. (2014). Distances and Similarities in Intuitionistic Fuzzy Sets. Springer.
# Szmidt, E., & Baldwin, J. (2006). Intuitionistic fuzzy set functions, mass assignment theory, possibility theory and histograms. Proceedings of 2006 IEEE World Congress on Computational Intelligence, pp. 237–243.
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# Szmidt, E., & Kacprzyk, J. (1997). [[Issue:On measuring distances between intuitionistic fuzzy sets|On measuring distances between intuitionistic fuzzy sets]]. Notes on Intuitionistic Fuzzy Sets, 3(4), 1–13.
# Szmidt, E., & Kacprzyk, J. (1998). Group decision making under intuitionistic fuzzy preference relations. Proceedings of IPMU’98, pp. 172–178.
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# Szmidt, E., & Kacprzyk, J. (2001). Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems, 118(3), 467–477.
# Szmidt, E., & Kacprzyk, J. (2002). Analysis of agreement in a group of experts via distances between intuitionistic fuzzy preferences. Proceedings of the 9th International Conference IPMU’2002, Annecy, France, pp. 1859–1865.
# Szmidt, E., & Kacprzyk, J. (2002). Evaluation of agreement in a group of experts via distances between intuitionistic fuzzy sets. Proceedings of 2002 International IEEE Symposium on Intelligent Systems (IS’2002), Varna, Bulgaria, pp. 166–170.
# Szmidt, E., & Kacprzyk, J. (2004). A concept of similarity for intuitionistic fuzzy sets and its use in group decision making. Proceedings of 2004 IEEE Conference on Fuzzy Systems, Budapest, pp. 1129–1134.
# Szmidt, E., & Kacprzyk, J. (2005). A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making. In: Torra, V., Narukawa, Y., & Miyamoto. S. (Eds.). Modelling Decisions for Artificial Intelligence. Lecture Notes on Artifiial Intelligence, Vol. 3558, pp. 272–282. Springer.
# Szmidt, E., & Kacprzyk, J. (2005). Distances between intuitionistic fuzzy sets and their applications in reasoning. In: Halgamuge, S., & Wang, L. (Eds.). Computational Intelligence for Modelling and Prediction. Studies in Computational Intelligence, Vol 2. pp. 101–116. Springer.
# Szmidt, E., & Kacprzyk, J. (2005). [[Issue:New measures of entropy for intuitionistic fuzzy sets|New measures of entropy for intuitionistic fuzzy sets]]. Notes on Intuitionistic Fuzzy Sets, 11(2), 12–20.
# Szmidt, E., & Kacprzyk, J. (2006). An application of intuitionistic fuzzy set similarity measures to a multi-criteria decision making problem. Proceedings of ICAISC 2006. Lecture Notes on Artificial Intelligence, Vol. 4029, pp. 314–323. Springer-Verlag.
# Szmidt, E., & Kacprzyk, J. (2006). Distances between intuitionistic fuzzy sets: Straightforward approaches may not work. Proceedings of 3rd International IEEE Conference Intelligent Systems (IEEE IS’06), London, pp. 716–721.
# Szmidt, E., & Kacprzyk, J. (2007). A new similarity measure for intuitionistic fuzzy sets: Straightforward approaches may not work. Proceedings of 2007 IEEE International Conference on Fuzzy Systems, pp. 481–486.
# Szmidt, E., & Kacprzyk, J. (2007). Some problems with entropy measures for the Atanassov intuitionistic fuzzy sets. Applications of Fuzzy Sets Theory. Lecture Notes on Artificial Intelligence, Vol. 4578, pp. 291–297. Springer-Verlag.
# Szmidt, E., & Kacprzyk, J. (2009). Ranking of intuitionistic fuzzy alternatives in a multi-criteria decision making problem. In: Proceedings of NAFIPS 2009, Cincinnati, USA, June 14–17, 2009, pp. 1-6, doi: 10.1109/NAFIPS.2009.5156417.
# Szmidt, E., & Kacprzyk, J. (2010). Dealing with typical values via Atanassov’s intuitionistic fuzzy sets. International Journal of General Systems, 39(5), 489–506.
# Szmidt, E., & Kacprzyk, J. (2011). Intuitionistic fuzzy sets – Two and three term representations in the context of a Hausdorff distance. Acta Universitatis Matthiae Belii, Series Mathematics, 19, 53–62.
# Szmidt, E., & Kacprzyk, J. (2012). A new approach to Principal Component Analysis for intuitionistic fuzzy data sets. Greco, S., et al. (Eds.). IPMU 2012, Part II, CCIS 298, pp. 529–538, Springer-Verlag Berlin Heidelberg.
# Szmidt, E., & Kacprzyk, J. (2015). Two and three term representations of intuitionistic fuzzy sets: Some conceptual and analytic aspects. Proceedings of 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), pp. 1–8.
# Szmidt, E., & Kacprzyk, J. (2017). A perspective on differences between Atanassov's intuitionistic fuzzy sets and interval-valued fuzzy sets. In: Torra, V., Dahlbom, V., Narukawa, Y. (Eds.). Fuzzy Sets, Rough Sets, Multisets and Clustering. Studies in Computational Intelligence, Volume 671, pp. 221–237, Springer.
# Szmidt, E., & Kacprzyk, J. (2022). Atanassov’s intuitionistic fuzzy sets demystified. In: Ciucci, D., Couso, I., Medina, J., Slezak, D., Petturiti, D., Bouchon-Meunier, B., & Yager, R. R. (Eds.). Information Processing and Management of Uncertainty in Knowledge-Based Systems. 19th International Conference, IPMU 2022, Milan, Italy, Proceedings, Part I, pp. 517–527. Communications in Computer and Information Science 1601, Springer.
# Szmidt, E., Kacprzyk, J., Atanassova, V., & Bujnowski, P. (2024). [[Issue:Intuitionistic fuzzy sets in group decision making – A novel approach|Intuitionistic fuzzy sets in group decision making – A novel approach]]. Notes on Intuitionistic Fuzzy Sets, 30(2), 101–112.
# Szmidt, E., Kacprzyk, J., & Bujnowski, P. (2020). Attribute selection for sets of data expressed by intuitionistic fuzzy sets. Proceedings of 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, pp. 1–7.
# Szmidt, E., Kacprzyk, J., & Bujnowski, P. (2021). Three term attribute description of Atanassov’s intuitionistic fuzzy sets as a basis of attribute selection. Proceedings of 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–6.
# Szmidt, E., Kacprzyk, J., & Bujnowski, P. (2022). Ranking of alternatives described by Atanassov’s intuitionistic fuzzy sets – A critical review. Proceedings of the 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–7.
# Szmidt, E., Kacprzyk, J., & Bujnowski, P. (2022). Similarity measures for Atanassov’s intuitionistic fuzzy sets: Some dilemmas and challenges. Control and Cybernetics, 51(2), 249–266.
# Szmidt, E., Kacprzyk, J., & Bujnowski, P. (2023). [[Issue:Identification of a sufficient number of the best attributes in the intuitionistic fuzzy models|Identification of a sufficient number of the best attributes in the intuitionistic fuzzy models]]. Notes on Intuitionistic Fuzzy Sets, 29(2), 144–156.
# Szmidt, E., Kacprzyk, J., Bujnowski, P., Starczewski, J., & Siwocha, A. (2024). Ranking of alternatives described by Atanassov’s intuitionistic fuzzy sets – Reconciling some misunderstandings. Journal of Artificial Intelligence and Soft Computing Research, 14(3), 237–250.
# Szmidt, E., & Kukier, M. (2006). Classification of imbalanced and overlapping classes using intuitionistic fuzzy sets. Proceedings of 3rd International IEEE Conference on Intelligent Systems IEEE IS’06, London, 722–727.
# Szmidt, E., & Kukier, M. (2008). A new approach to classification of imbalanced classes via Atanassov’s intuitionistic fuzzy sets. In: Wang, H.-S. (Ed.). Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery. Idea Group, pp. 85–101.
# Szmidt, E., & Kukier, M. (2008). Atanassov’s intuitionistic fuzzy sets in classification of imbalanced and overlapping classes. In: Chountas, P., Petrounias, I., & Kacprzyk, J. (Eds.). Intelligent Techniques and Tools for Novel System Architectures. Springer, Series: Studies in Computational Intelligence, Berlin, Heidelberg, pp. 455–471.
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# Zeraatkar, S., & Afsari. F. (2021). Interval-valued fuzzy and intuitionistic fuzzy-KNN for imbalanced data classification. Expert Systems with Applications, 184, 115–510.

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Issue:K-NN intuitionistic fuzzy classifier - Revision history

Vassia Atanassova: 30 > 31