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Artificial Intelligence and Decision Making, 2022, Issue 2, Pages 17–26
DOI: https://doi.org/10.14357/20718594220202
(Mi iipr61)
 

This article is cited in 1 scientific paper (total in 1 paper)

System, evolutionary, cognitive modeling

System-object determinant analysis. Partitive classification using the formal-semantic normative system

S. I. Matorinab, V. V. Mikheleva

a National Research University "Belgorod State University", Belgorod, Russia
b Belgorod University of Cooperation, Economics & Law, Belgorod, Russia
Full-text PDF (492 kB) Citations (1)
Abstract: The paper considers the construction of a partitive classification when conducting a systemobject determinant analysis using a formal-semantic normative system. The formal semantic alphabet and the rules for its use are described in terms of descriptive logic. The developed algorithms provide computer support for the decomposition of a complex system in graphical-analytical modeling. An illustrative example is given.
Keywords: system-object determinant analysis, partitive classification, formal-semantic normative system, system-object approach “Node-Function-Object”, decomposition.
Funding agency Grant number
Russian Foundation for Basic Research 19-29-01047мк
English version:
Scientific and Technical Information Processing, 2023, Volume 50, Issue 6, Pages 602–609
DOI: https://doi.org/10.3103/S0147688223060114
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. I. Matorin, V. V. Mikhelev, “System-object determinant analysis. Partitive classification using the formal-semantic normative system”, Artificial Intelligence and Decision Making, 2022, no. 2, 17–26; Scientific and Technical Information Processing, 50:6 (2023), 602–609
Citation in format AMSBIB
\Bibitem{MatMik22}
\by S.~I.~Matorin, V.~V.~Mikhelev
\paper System-object determinant analysis. Partitive classification using the formal-semantic normative system
\jour Artificial Intelligence and Decision Making
\yr 2022
\issue 2
\pages 17--26
\mathnet{http://mi.mathnet.ru/iipr61}
\crossref{https://doi.org/10.14357/20718594220202}
\elib{https://elibrary.ru/item.asp?id=48707182}
\transl
\jour Scientific and Technical Information Processing
\yr 2023
\vol 50
\issue 6
\pages 602--609
\crossref{https://doi.org/10.3103/S0147688223060114}
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  • https://www.mathnet.ru/eng/iipr/y2022/i2/p17
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    This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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