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Method for optimal selection of analytical and procedural models of typical information processes

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dc.contributor.authorMiachin, D. A.
dc.contributor.authorLukin, V. N.
dc.contributor.authorMinkin, D. Y.
dc.contributor.authorMarchenko, M. A.
dc.contributor.authorTimofeev, A. V.
dc.date.accessioned2024-11-26T13:54:42Z
dc.date.available2024-11-26T13:54:42Z
dc.date.issued2020
dc.description.abstract© 2020, Institute of Advanced Scientific Research, Inc. All rights reserved.The article describes the method of optimal selection of analytical and procedural models of typical information processes. The method allows selecting the models of typical information processes at the department-level of the organization and functional unit-level from the archive for storing typical models of the organization's operation category. The optimal selection method is applicable to organizations implementing information systems, and to archives storing models of typical information processes. The method allows for solving the problem of reducing the time spent on designing and modeling information systems and is used in the design technique of analytical and procedural models of information processes.
dc.format.extentС. 454-460
dc.identifier.citationMethod for optimal selection of analytical and procedural models of typical information processes / Miachin, D.A. [et al.] // Journal of Advanced Research in Dynamical and Control Systems. - 2020. - 12. - № 4 Special Issue. - P. 454-460. - 10.5373/JARDCS/V12SP4/20201510
dc.identifier.doi10.5373/JARDCS/V12SP4/20201510
dc.identifier.urihttps://www.doi.org/10.5373/JARDCS/V12SP4/20201510
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85085319010&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/21864
dc.relation.ispartofJournal of Advanced Research in Dynamical and Control Systems
dc.titleMethod for optimal selection of analytical and procedural models of typical information processes
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue4 Special Issue
oaire.citation.volume12
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