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Issue:A generalized net model of the process of face recognition with elements of intuitionistic fuzziness

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Title of paper: A generalized net model of the process of face recognition with elements of intuitionistic fuzziness
Author(s):
Anthony Shannon
Warrane College, The University of New South Wales, New South Wales, 1465, Australia
KvB Institute of Technology, North Sydney, 2060, Australia
tony@kvb.edu.au
Georgi Gluhchev
Institute of Information Technologies - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia 1113, Bulgaria
gluhchev@iinf.bas.bg
Vasil Vasilev
Institute of Information Technologies - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia 1113, Bulgaria
vasko@iinf.bas.bg
Krassimir Atanassov
Centre for Biomedical Engineering - Bulgarian Academy of Sciences, Bl. 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
krat@argo.bas.bg
Stefan Hadjitodorov
Centre for Biomedical Engineering - Bulgarian Academy of Sciences, Bl. 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
sthadj@argo.bas.bg
Presented at: Seventh International Conference on IFSs, Sofia, 23-24 August 2003
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 9 (2003) Number 4, pages 102-108
Download:  PDF (3439  Kb, File info)
Abstract: In a series of papers, collected in the book [1], the authors described different processes of pattern and speaker recognition, classification, verification and identification by Generalized Nets (GNs; see [2]). Now, our aim is to detailize the estimations related to these processes, using the approach of the Intuitionistic Fuzzy Sets (IFSs, see [3]). In [1,4] we constructed an ordinary GN model of the process of face recognition. Now, we shall extend this model adding elements of intuitionistic fuzziness. We shall keep all notations from [1,4] for easy comparison between both models. In the present model we shall add only two new places ([math]\displaystyle{ l_7^{'} }[/math] and [math]\displaystyle{ l_7^{''} }[/math]), but the forms of some tokens characteristics, and of some transition condition predicates will be essentially complex.


References:
  1. Atanassov, K., G. Gluhchev, S. Hadjitodorov, A. Shannon, V. Vassilev. Generalized Nets and Pattern Recognition. KvB Visual Concepts Pty Ltd, Monograph No. 6, Sydney, 2003.
  2. Atanassov, K. Generalized Nets. World Scientific, Singapore, New Jersey, London, 1991.
  3. Atanassov, K. Intuitionistic Fuzzy Sets. Springer-Verlag, Heidelberg, 1999.
  4. Gluhchev, G., K. Atanassov, S. Hadjitodorov, V. Vasilev. Face recognition via generalized nets. Proc. of the First Polish International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Warszawa, Nov. 2001 (in press).
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