Abstract
A generalized net model of the process of classification with intuitionistic fuzzy estimations is presented. Classification methods are used to group the input data in classes according to selected labels. The standard classification procedure is improved by the step of intuitionistic fuzzy evaluations calculating. The generalized net model of classification with intuitionistic fuzzy evaluations contains the possibility for indicating the necessity of a new data selection or new algorithm determining.
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References
Aggarwal, C.: Data Mining. Springer, New York (2015)
Atanassov, K., Sotirova, E.: Generalized Nets. Prof. Marin Drinov Academic Publishing House, Sofia (2017). (in Bulgarian)
Atanassov, K.: Generalized nets as a tool for the modelling of data mining processes. In: Innovative Issues in Intelligent Systems. Studies in Computational Intelligence, vol. 623, pp. 161–215 (2016)
Atanassov, K.: On Intuitionistic Fuzzy Sets Theory. Springer, Berlin (2012)
Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)
Atanassov, K.: On Generalized Nets Theory. Prof. M. Drinov Academic Publishing House, Sofia (2007)
Atanassov, K., Szmidt, E., Kacprzyk, J.: On intuitionistic fuzzy pairs. Notes Intuitionistic Fuzzy Sets 19(3), 1–13 (2013)
Bramer, M.: Principles of Data Mining. Springer, New York (2013). ISBN 978-1-4471-4883-8
Bureva, V., Puleva, M., Sotirova, E.: Generalized net of the process of support vector machines classifier construction. Annu. Inf. Sect. Union Sci. Bul. 7 (2014)
Bureva, V.. Chountas, P., Atanassov, K.: A generalized net model of the process of decision tree construction. In: Proceedings of 13th Workshop on Generalized Nets, London, 29 October 2012
Bureva, V., Sotirova, E., Bozov, H.: Generalized net model of biometric identification process. In: 20th International Symposium on Electrical Apparatus and Technologies (SIELA), Burgas, Bulgaria (2018). https://doi.org/10.1109/siela.2018.8447104
Bureva, V., Yovcheva, P., Sotirov, S.: Generalized net model of fingerprint recognition with intuitionistic fuzzy evaluations. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds.) Advances in Fuzzy Logic and Technology 2017. IWIFSGN 2017, EUSFLAT 2017. Advances in Intelligent Systems and Computing, vol. 641. Springer, Cham (2017)
Sotirova, E.: Classification of the students’ intuitionistic fuzzy estimations by a 3-dimensional self organizing map. In: Seventh International Workshop on IFSs, Banská Bystrica, Slovakia, 27 September 2011, NIFS, vol. 17, no. 4, pp. 39–44 (2011)
Zoteva, D., Krawczak, M.: Generalized nets as a tool for the modelling of data mining processes. Surv. Iss. IFSs GNs 13, 1–60 (2017)
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Bureva, V. (2021). Generalized Net Model of the Process of Classification with Intuitionistic Fuzzy Evaluations. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_17
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DOI: https://doi.org/10.1007/978-3-030-47024-1_17
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