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Artificial Intelligence and Decision Making, 2024, Issue 2, Pages 62–75
DOI: https://doi.org/10.14357/20718594240205
(Mi iipr588)
 

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

System, evolutionary, cognitive modeling

An improved alphabet for graphic-analytical modeling of processes using system-object analysis

S. I. Matorinab, S. A. Pesotskya, A. G. Zhikhareva, Yu. V. Dmitrievaab

a National Research University "Belgorod State University", Belgorod, Russia
b Belgorod University of Cooperation, Economics and Law, Belgorod, Russia
Full-text PDF (628 kB) Citations (1)
Abstract: The article discusses normative systems (formal systems built genetically) of system-structural and system-object analysis. An improved alphabet of connections and nodes of the normative system of system-object analysis, based on the “Unit-Function-Object” approach, is proposed. Variants of meaningful interpretation of alphabetic nodes as a means for modeling various processes are presented. For the process of manufacturing products from raw materials, the possibility of partial automation of the procedure for constructing graphic-analytical models of processes using an improved alphabet is shown.
Keywords: graphic-analytical modeling, system-object approach, alphabet of the formal-semantic normative system, automation of constructing graphical models.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. I. Matorin, S. A. Pesotsky, A. G. Zhikharev, Yu. V. Dmitrieva, “An improved alphabet for graphic-analytical modeling of processes using system-object analysis”, Artificial Intelligence and Decision Making, 2024, no. 2, 62–75
Citation in format AMSBIB
\Bibitem{MatPesZhi24}
\by S.~I.~Matorin, S.~A.~Pesotsky, A.~G.~Zhikharev, Yu.~V.~Dmitrieva
\paper An improved alphabet for graphic-analytical modeling of processes using system-object analysis
\jour Artificial Intelligence and Decision Making
\yr 2024
\issue 2
\pages 62--75
\mathnet{http://mi.mathnet.ru/iipr588}
\crossref{https://doi.org/10.14357/20718594240205}
\elib{https://elibrary.ru/item.asp?id=67938948}
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  • https://www.mathnet.ru/eng/iipr/y2024/i2/p62
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
     
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