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Avtomatika i Telemekhanika, 2022, Issue 6, Pages 72–83
DOI: https://doi.org/10.31857/S000523102206006X
(Mi at15977)
 

This article is cited in 2 scientific papers (total in 2 papers)

Granulation of multivariate time series in the problem of descriptive analysis of the state and behavior of complex objects

T. V. Afanasieva

Plekhanov Russian University of Economics, Moscow, 117997 Russia
References:
Abstract: Being a source of implicit knowledge, multivariate time series (MTS) can act as models for the perception of objects in many applied areas. The article deals with the development of conceptual provisions for granular calculations of multivariate time series, on the basis of which a descriptive analysis technique is proposed that permits obtaining information granules about the state and behavior of the observed object expressed in textual form using protoforms. An application of granulation of a multivariate time series to the descriptive analysis of the development of the Russian economy is considered.
Keywords: multivariate time series, granulation, protoform, descriptive analysis.
Presented by the member of Editorial Board: O. P. Kuznetsov

Received: 26.11.2021
Revised: 11.01.2022
Accepted: 26.01.2022
English version:
Automation and Remote Control, 2022, Volume 83, Issue 6, Pages 884–893
DOI: https://doi.org/10.1134/S0005117922060066
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: T. V. Afanasieva, “Granulation of multivariate time series in the problem of descriptive analysis of the state and behavior of complex objects”, Avtomat. i Telemekh., 2022, no. 6, 72–83; Autom. Remote Control, 83:6 (2022), 884–893
Citation in format AMSBIB
\Bibitem{Afa22}
\by T.~V.~Afanasieva
\paper Granulation of multivariate time series in the problem of descriptive analysis of the state and behavior of complex objects
\jour Avtomat. i Telemekh.
\yr 2022
\issue 6
\pages 72--83
\mathnet{http://mi.mathnet.ru/at15977}
\crossref{https://doi.org/10.31857/S000523102206006X}
\edn{https://elibrary.ru/ACSAXP}
\transl
\jour Autom. Remote Control
\yr 2022
\vol 83
\issue 6
\pages 884--893
\crossref{https://doi.org/10.1134/S0005117922060066}
Linking options:
  • https://www.mathnet.ru/eng/at15977
  • https://www.mathnet.ru/eng/at/y2022/i6/p72
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
    Statistics & downloads:
    Abstract page:125
    References:22
    First page:16
     
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