Artificial Intelligence and Decision Making
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Artificial Intelligence and Decision Making:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Artificial Intelligence and Decision Making, 2022, Issue 1, Pages 26–34
DOI: https://doi.org/10.14357/20718594220103
(Mi iipr55)
 

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

System, evolutionary, cognitive modeling

System-object determinant analysis. Construction of genetic and partitive classifications of the subject area

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 (798 kB) Citations (1)
Abstract: The paper considers the second and third stages of the system-object determinant analysis, including the construction of genetic and partitive classifications of the subject area. Class systems and phenomenon systems are described using a single system-object approach “Node-Function-Object” and formalization means in the language of descriptive logic ALCHOIQ (D). Partitive classification is obtained using a formal-semantic normative system based on the classification of alphabetical nodes and links. Examples of constructed genetic and partitive classifications are given.
Keywords: system-object determinant analysis, genetic classification, partitive classification, subject domain meronomy, system-object approach “Unit-Function-Object”, descriptive logic, conceptual systems, systems-phenomena, formal-semantic normative system.
Funding agency Grant number
Russian Foundation for Basic Research 19-07-00290а
19-07-00111а
19-29-01047мк
English version:
Scientific and Technical Information Processing, 2023, Volume 50, Issue 6, Pages 595–601
DOI: https://doi.org/10.3103/S0147688223060102
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. I. Matorin, V. V. Mikhelev, “System-object determinant analysis. Construction of genetic and partitive classifications of the subject area”, Artificial Intelligence and Decision Making, 2022, no. 1, 26–34; Scientific and Technical Information Processing, 50:6 (2023), 595–601
Citation in format AMSBIB
\Bibitem{MatMik22}
\by S.~I.~Matorin, V.~V.~Mikhelev
\paper System-object determinant analysis. Construction of genetic and partitive classifications of the subject area
\jour Artificial Intelligence and Decision Making
\yr 2022
\issue 1
\pages 26--34
\mathnet{http://mi.mathnet.ru/iipr55}
\crossref{https://doi.org/10.14357/20718594220103}
\elib{https://elibrary.ru/item.asp?id=48140571}
\transl
\jour Scientific and Technical Information Processing
\yr 2023
\vol 50
\issue 6
\pages 595--601
\crossref{https://doi.org/10.3103/S0147688223060102}
Linking options:
  • https://www.mathnet.ru/eng/iipr55
  • https://www.mathnet.ru/eng/iipr/y2022/i1/p26
    Cycle of papers
    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
    Statistics & downloads:
    Abstract page:17
    Full-text PDF :6
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024