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Development of a method of data interpretation in intelligent decision support systems

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dc.contributor.authorShyshatskyi, A.
dc.contributor.authorPavlikovskyi, A.
dc.contributor.authorZhuk, P.
dc.contributor.authorNalapko, O.
dc.contributor.authorCherneha, V.
dc.contributor.authorArtabaiev, Y.
dc.contributor.authorProtas, N. M.
dc.contributor.authorVeretnov, A.
dc.contributor.authorPeleshok, Y.
dc.contributor.authorPliekhov, D.
dc.contributor.authorПротас, Надія Михайлівна
dc.date.issued2026-06-26
dc.description.abstractIntelligent decision support systems (IDSS) are the object of the study. The problem that is solved in the study is the increase in the processing of heterogeneous data while ensuring the given reliability of their processing. The hypothesis of the study is the possibility of increasing the level of reliability of heterogeneous data processing in IDSS due to the development of a method of data interpretation in IDSS. The originality of the study consists of: − taking into account the influence of data uncertainty on the process of processing heterogeneous data in IDSS due to the use of fuzzy analytical expressions; − reduction of loss of reliability of heterogeneous data processing due to verification of information about IDSS and data circulating in it; − increasing the reliability of heterogeneous data processing in IDSS due to multi-level deep learning of knowledge bases, using evolving artificial neural networks; − estimation of zero data values in IDSS databases, due to the use of the procedure for estimating the zero data value, which achieves the prevention of looping of the method; − carry out unambiguous classification of data, their attributes circulating in the IDSS due to the use of artificial immune detectors, which achieves an increase in the accu racy of IDSS settings and the reliability of heterogeneous data processing; − recovery of data that was lost during the processing of heterogeneous data in IDSS due to their preliminary processing, which achieves an increase in the reliability of heterogeneous data circulating in IDSS.
dc.identifier.citationDevelopment of a method of data interpretation in intelligent decision support systems /A. Shyshatskyi et al. Eastern-European Journal of Enterprise Technologies, 2026. №3 (4 (141)), Pp. 66–73. DOI: https://doi.org/10.15587/1729-4061.2026.360208
dc.identifier.issn1729-3774
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/22684
dc.language.isoen
dc.publisherEastern-European Journal of Enterprise Technologies
dc.relation.ispartofseries№3 (4 (141))
dc.subjectheterogeneous data
dc.subjectprocessing of various types of data
dc.subjectreliability of decision-making
dc.subjectarti ficial intelligence
dc.titleDevelopment of a method of data interpretation in intelligent decision support systems
dc.typeArticle
dspace.entity.typePublication
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