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

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Title of paper: Neural network for defining intuitionistic fuzzy sets in e-learning
Author(s):
Krassimir Atanassov
CLBME, Bulgarian Academy of Sciences, Bl. 105, Sofia-1113, Bulgaria
krat@bas.bg
Sotir Sotirov
University “Prof. d-r Asen Zlatarov”, Burgas, Bulgaria
ssotirov@btu.bg
Maciej Krawczak
Systems Research Institute – Polish Academy of Sciences
Warsaw School of Information technology, Warsaw, Poland
krawczak@ibspan.waw.pl
Presented at: 13th ICIFS, Sofia, 9-10 May 2009
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 15 (2009) Number 2, pages 18—23
Download:  PDF (175  Kb, File info)
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
References:
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  3. Atanassov, K. On Generalized Nets Theory, “Prof. M. Drinov”Academic Publishing House, Sofia, 2007.
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  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.
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  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.
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