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Development of methodology for processing different types of data in information and analytical support systems at the state level

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dc.contributor.authorHoncharuk, D.
dc.contributor.authorKuzior, A.
dc.contributor.authorProtas, N. M.
dc.contributor.authorRudenko, O.
dc.contributor.authorVeretnov, A.
dc.contributor.authorPimonov, I.
dc.contributor.authorYarovyi, O.
dc.contributor.authorSudnikov, Y.
dc.contributor.authorPliekhov, D.
dc.contributor.authorShyshatskyi, A.
dc.contributor.authorПротас, Надія Михайлівна
dc.date.issued2026-08-12
dc.description.abstractThe object of the study is thesystem of information and analytical support of the state level (IAS).The problem that is solved in the study is increasing the efficiency of processing various types of data while ensuring the given reliability of their processing. The hypothesis of the study is the possibility of increasing the level of efficiency of processing various types of data in the IAS system due to the development of methods of their processing. The originality of the proposed methodology is: – carrying out a comprehensive calculation of the uncertainty of various types of data in IAS systems according to 5 indicators, which allows to increase the accuracy of the initial setting of the IAS system; – increasing the efficiency and reliability of the synchronization process of various types of data due to the use of an improved synchronization procedure; – increasing the level of efficiency and reliability of the calculation process and aggregation of data circulating in the IAS system due to the use of the appropriate procedure; – increasing the efficiency and reliability of the process of separation of various types of data circulating in the IAS system due to the use of the appropriate procedure; – increasing the reliability of processing various types of data in IAS systems due to multi-level deep learning of knowledge bases, using evolving artificial neural networks; – carry out unambiguous classification of data, their attributes circulating in IAS systems due to the use of artificial immune detectors, which increases the accuracy of setting up the IAS system and the reli- ability of processing various types of data.
dc.identifier.citationDevelopment of methodology for processing different types of data in information and analytical support systems at the state level / D. Honcharuk et al. Eastern-European Journal of Enterprise Technologies. 2026. №4 (4 (142)), Pp. 29–38. DOI: https://doi.org/10.15587/1729-4061.2026.367958
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/22685
dc.language.isoen
dc.publisherEastern-European Journal of Enterprise Technologies
dc.relation.ispartofseries№4 (4 (142))
dc.subjectintelligent decision support systems
dc.subjectdata uncertainty
dc.subjectdata processing efficiency
dc.titleDevelopment of methodology for processing different types of data in information and analytical support systems at the state level
dc.typeArticle
dspace.entity.typePublication
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