16-17 May 2019 • Sofia, Bulgaria

Submission: 21 February 2019Notification: 11 March 2019Final Version: 1 April 2019

Issue:Generalized net model of the intuitionistic fuzzy feed forward neural network

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Jump to: navigation, search
Title of paper: Neural network for defining intuitionistic fuzzy sets in e-learning
Krassimir Atanassov
CLBME, Bulgarian Academy of Sciences, Bl. 105, Sofia-1113, Bulgaria
kratAt sign.pngbas.bg
Sotir Sotirov
University “Prof. d-r Asen Zlatarov”, Burgas, Bulgaria
ssotirovAt sign.pngbtu.bg
Maciej Krawczak
Systems Research Institute – Polish Academy of Sciences
Warsaw School of Information technology, Warsaw, Poland
krawczakAt sign.pngibspan.waw.pl
Presented at: 13th ICIFS, Sofia, 9-10 May 2009
Published in: Conference proceedings, "Notes on IFS", Volume 15 (2009) Number 2, pages 18—23
Download: Download-icon.png PDF (175  Kb, Info) Download-icon.png
Abstract: In previous paper we introduced feed forward neural network changed into the definition of the Intuitionistic fuzzy logic (IFL). All its parameters used IFL characteristics. In this paper a generalized net model us constructed that introduces work in the IFFFNN.
Keywords: Intuitionistic fuzzy set, Feed forward neural network, Generalized nets
  1. Atanassov K., Intuitionistic Fuzzy Sets, Springer Physica-Verlag, Berlin, 1999.
  2. Atanassov, K. Generalized nets, World Scientific, Singapore, New Jersey, London 1991.
  3. Atanassov, K. On Generalized Nets Theory, “Prof. M. Drinov”Academic Publishing House, Sofia, 2007.
  4. Atanassov, K., S. Sotirov, A. Antonov, Generalized net model for parallel optimization of feed-forward neural network, Advanced Studies in Contemporary Mathematics, Vol.15, No. 1 2007, 109-119.
  5. Atanassov, K., S. Sotirov, Optimization of a neural network of self-organizing maps type with time-limits by a generalized net, Advanced Studies in Contemporary Mathematics, Vol. 13, No.2, 2006, 213-220.
  6. Hadjyisky L., Atanassov K., Generalized net model of the intuitionistic fuzzy neural networks, Advances in Modelling & Analysis, AMSE Press, Vol. 23, 1995, No. 2, 59-64.
  7. Hadjyisky L., Atanassov K., Intuitionistic fuzzy model of a neural network, BUSEFAL,Vol. 54, 1993, 36-39.
  8. Hagan, M., H. Demuth, M. Beale, Neural Network Design, Boston, MA: PWS Publishing, 1996.
  9. Haykin, S. Neural Networks: A Comprehensive Foundation, NY: Macmillan, 1994.
  10. Krawczak, M. Generalized Net Models of Systems, Bulletin of Polish Academy of Science, 2003.
  11. Krawczak, M. Generalized Net Models of Neural Network Systems, Academic Publishing House, Warsaw, 2003.
  12. Kuncheva L., Atanassov K., An intuitionistic fuzzy RBF network, Proceedings of EUFIT'96, Aachen, Sept. 2-5, 1996, 777-781.
  13. Sotirov S., Atanassov K., Intuitionistic Fuzzy Feed Forward Neural Network. Cybernetics and Information Technologies, Vol. 9, 2009, No. 2, 62-68.
  14. Sotirov, S. Modeling the algorithm backpropagation for learning of neural networks with generalized nets. Part 1, Proceedings of the Fourth International Workshop on Generalized Nets, Sofia, 23 September 2003, 61-67.
  15. Sotirov, S., Generalized net model of the accelerating backpropagation algоrithm, Jangjeon Mathematical Society, 2006, 217-225.
  16. Sotirov, S., Krawczak M., Modeling the algorithm backpropagation for learning of neural networks with generalized nets. Part 2, Issues in Intuitionistic Fuzzy Sets and Generalized Nets, Warsaw, 2003, 65-70.

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.