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http://ifigenia.org/wiki/issue:nifs/4/1/15-22
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| Title of paper:
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Intuitionistic fuzzy generalized net model of machine learning process
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| Author(s):
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| Hristo Aladjov
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| CLBME-Bulg. Academy of Sci., ad MRL, P.O.Box 12, Sofia-1113, Bulgaria
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| Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 4 (1998), Number 1, pages 15—22
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| Download:
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 PDF (3211 Kb, File info)
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| Abstract:
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The aim of the present paper is to construct a Generalized Net (GN, [1,2]) describing the process of machine learning. The task for developing such a model is formulated at the "Session of the Mathematical Foundations of Artificial Intelligence*' seminar in 1991 (published in [3]), as a part of the idea that different areas of Artificial Intelligence (AI) should be described with a uniform formalism. The acceptance of such a universal description tool would make it possible to exchange ideas among the different areas, and to concentrate the efforts for solving common problems.
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| References:
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- Atanassov, K. Generalized Nets in Artificial Inteligence Vol. 1 Generalized Nets and Expert Systems, Sofia. Publishing House of the Bulgarian Academy of Science "Prof Marin Drinov", 1998.
- Atanassov, K. Introduction to the Theory of Generalized Nets Pontica-Print, Bourgas, 1992. (in Bulgarian)
- Attanassov, K. Generalized nets and artificial intelligence - Advances in Modelling & Analysis, B, Vol. 37, 1997. No 1-2.37-51.
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