Title of paper:
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Intuitionistic fuzzy generalized net model of the process of handwriting analysis
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Author(s):
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Georgi Gluhchev
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Institute of Information Technologies, Bulg. Acad. of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia-1113, Bulgaria
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gluhchev@iinf.bas.bg
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Krassimir Atanassov
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CLBME-Bulgarian Academy of Sciences, P.O. Box 12, Sofia-1113, Bulgaria
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krat@bas.bg
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Stefan Hadjitodorov
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CLBME-Bulgarian Academy of Sciences, P.O. Box 12, Sofia-1113, Bulgaria
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sthadj@argo.bas.bg
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Eulalia Szmidt
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Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland
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szmidt@ibspan.waw.pl
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Anthony Shannon
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KvB Institute of Technology, North Sydney, 2060, Australia Warrane College, University of New South Wales, Kensington, 1465, Australia
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(current: t.shannon@warrane.unsw.edu.au)
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Presented at:
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3rd Conference of the European Society for Fuzzy Logic and Technology, Zittau, Germany, September 10-12, 2003
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Published in:
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Conference proceedings, pages 218-222
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Download:
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PDF (88 Kb, File info)
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Abstract:
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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.
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Keywords:
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Generalized nets, Intuitionistic fuzzy generalized nets, Handwriting analysis
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References:
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to be cited
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Citations:
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- 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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