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Issue:Generalized net model with intuitionistic fuzzy estimations of human nervous system

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Title of paper: Generalized net model with intuitionistic fuzzy estimations of human nervous system
Author(s):
Vihren Chakarov
Centre for Biomedical Engineering - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
Anthony Shannon
KvB Institute of Technology, North Sydney, 2060, Australia
KvB Institute of Technology, North Sydney, 2060, Australia
Krassimir Atanassov
Centre for Biomedical Engineering - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
Published in: "Notes on IFS", Volume 13 (2007) Number 3, pages 17—23
Download:  PDF (107  Kb, Info)
Abstract: Generalized Nets (GNs) are extensions of Petri nets and their modifications. GNs are a suitable tool for modelling of parallel processes. In a series of papers the authors describe the ways of functioning of the different systems in the human body. In the present one a GN-model of the human nervous system is described. The model uses intuitionistic fuzzy estimations of the human body parameters.


References:
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  3. Atanassov K. On Generalized Nets Theory. "Prof. M. Drinov" Academic Publishing House, Sofia, 2001.
  4. Atanassov K.. V. Radeya, A. Shannon. J. Sorsich. Generalized Nets Interpretations of Ivan Dimitrov's Informational Theory of Diseases. "Prof. M. Drinov" Academic Publishing House, Sofia, 2001.
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  7. Shannon. A.. K. Atanassov, V. Chakarov. Global generalized net model of a human body: an intuitionistic fuzzy approach. Proceedings of the Eight International Conference on Intuitionistic Fuzzy Sets (J. Kacprzyk and K. Atanassov. Eds.), Sofia, 20-21 June 2004, Vol. 2, 75-81.
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