Advertisement

Generalized Net Model of the Process of Classification with Intuitionistic Fuzzy Evaluations

  • Veselina BurevaEmail author
Conference paper
  • 9 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1081)

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.

Keywords

Classification Intuitionistic fuzzy sets Generalized nets 

References

  1. 1.
    Aggarwal, C.: Data Mining. Springer, New York (2015)zbMATHGoogle Scholar
  2. 2.
    Atanassov, K., Sotirova, E.: Generalized Nets. Prof. Marin Drinov Academic Publishing House, Sofia (2017). (in Bulgarian)Google Scholar
  3. 3.
    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)Google Scholar
  4. 4.
    Atanassov, K.: On Intuitionistic Fuzzy Sets Theory. Springer, Berlin (2012)CrossRefGoogle Scholar
  5. 5.
    Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)CrossRefGoogle Scholar
  6. 6.
    Atanassov, K.: On Generalized Nets Theory. Prof. M. Drinov Academic Publishing House, Sofia (2007)zbMATHGoogle Scholar
  7. 7.
    Atanassov, K., Szmidt, E., Kacprzyk, J.: On intuitionistic fuzzy pairs. Notes Intuitionistic Fuzzy Sets 19(3), 1–13 (2013)CrossRefGoogle Scholar
  8. 8.
    Bramer, M.: Principles of Data Mining. Springer, New York (2013). ISBN 978-1-4471-4883-8CrossRefGoogle Scholar
  9. 9.
    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)Google Scholar
  10. 10.
    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 2012Google Scholar
  11. 11.
    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
  12. 12.
    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)Google Scholar
  13. 13.
    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)Google Scholar
  14. 14.
    Zoteva, D., Krawczak, M.: Generalized nets as a tool for the modelling of data mining processes. Surv. Iss. IFSs GNs 13, 1–60 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Laboratory of Intelligent SystemsProf. Dr. Assen Zlatarov UniversityBurgasBulgaria

Personalised recommendations