8-9 October 2020 • Burgas, Bulgaria

Submission: 15 May 2020 • Notification: 31 May 2020 • Final Version: 15 June 2020

Issue:Intuitionistic fuzzy generalized net model of the process of handwriting analysis

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Title of paper: Intuitionistic fuzzy generalized net model of the process of handwriting analysis
Author(s):
Georgi Gluhchev
Institute of Information Technologies, Bulg. Acad. of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia-1113, Bulgaria
gluhchevAt sign.pngiinf.bas.bg
Krassimir Atanassov
CLBME-Bulgarian Academy of Sciences, P.O. Box 12, Sofia-1113, Bulgaria
kratAt sign.pngbas.bg
Stefan Hadjitodorov
CLBME-Bulgarian Academy of Sciences, P.O. Box 12, Sofia-1113, Bulgaria
sthadjAt sign.pngargo.bas.bg
Eulalia Szmidt
Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland
szmidtAt sign.pngibspan.waw.pl
Anthony Shannon
KvB Institute of Technology, North Sydney, 2060, Australia
Warrane College, University of New South Wales, Kensington, 1465, Australia
   (current: t.shannonAt sign.pngwarrane.unsw.edu.au)
Presented at: 3rd Conference of the European Society for Fuzzy Logic and Technology, Zittau, Germany, September 10-12, 2003
Published in: Conference proceedings, pages 218-222
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Abstract: Generalized Nets (GNs) are extensions and modifications of the ordinary Petri nets. The tokens enter the GN with initial characteristics and obtain new ones during their transfer in the net. Each GN-transition has input and output places (as in ordinary Petri nets), but it contains an index matrix (a matrix with index rows and columns) with elements - predicates that can be functions of the GN history up to the moment (e.g., the tokens' characteristics). Intuitionistic Fuzzy Generalized Nets, additionally, make it possible to describe imprecise information. We use this sort of nets in the process of handwriting analysis.
Keywords: Generalized nets, Intuitionistic fuzzy generalized nets, Handwriting analysis
References: to be cited
Citations:
  1. Atanassov K., Gluhchev G., Hadjitodorov S., Shannon A., Vasilev V., Generalized nets in image processing and pattern recognition, 6th International Workshop on Generalized Nets. Sofia, 17 December 2005, pp. 47-60

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