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Artificial Intelligence and Decision Making, 2020, Issue 2, Pages 86–93
DOI: https://doi.org/10.14357/20718594200207 (Mi iipr137) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Knowledge representation and acquision

System-object approach to determinant analysis for complex systems

S. I. Matorina, V. V. Mikhelevb

a ICJSC "SoftConnect", Belgorod, Russia
b National Research University "Belgorod State University", Belgorod, Russia
Full-text PDF (635 kB) Citations (3)
DOI: https://doi.org/10.14357/20718594200207
Abstract: The article describes the possibility of analyzing systems using a system-object approach. The concept of determinant analysis of systems based on such an approach is introduced, which allows us to consider the detailed description of a system as a process of gradual refinement of its properties. The formalization of the stages of determinant analysis is proposed, starting with class systems (external or conceptual systems) and ending with systems-phenomena (internal or material systems), using the calculus of Abadi-Cardeli objects and the language of descriptive logic ALCHIO (D).
Keywords: system-object approach, determinant analysis, systems-phenomena, systems-classes, for-malization, calculus of objects, descriptive logic.
Funding agency Grant number
Russian Foundation for Basic Research 18-07-00355а
19-07-00290а
19-07-00111а
19-29-01047мк
English version:
Scientific and Technical Information Processing, 2021, Volume 48, Issue 5, Pages 327–332
DOI: https://doi.org/10.3103/S014768822105004X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. I. Matorin, V. V. Mikhelev, “System-object approach to determinant analysis for complex systems”, Artificial Intelligence and Decision Making, 2020, no. 2, 86–93; Scientific and Technical Information Processing, 48:5 (2021), 327–332
Citation in format AMSBIB
\Bibitem{MatMik20}
\by S.~I.~Matorin, V.~V.~Mikhelev
\paper System-object approach to determinant analysis for complex systems
\jour Artificial Intelligence and Decision Making
\yr 2020
\issue 2
\pages 86--93
\mathnet{http://mi.mathnet.ru/iipr137}
\crossref{https://doi.org/10.14357/20718594200207}
\elib{https://elibrary.ru/item.asp?id=43023334}
\transl
\jour Scientific and Technical Information Processing
\yr 2021
\vol 48
\issue 5
\pages 327--332
\crossref{https://doi.org/10.3103/S014768822105004X}
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  • https://www.mathnet.ru/eng/iipr/y2020/i2/p86
    • This publication is cited in the following 3 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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