Публікація:
The Application of Hybrid Intelligence Systems for Dynamic Data Analysis

dc.contributor.authorTvoroshenko, I.
dc.contributor.authorGorokhovatskyi, V.
dc.date.accessioned2022-03-18T19:08:04Z
dc.date.available2022-03-18T19:08:04Z
dc.date.issued2022
dc.description.abstractThe paper presents the results of scientific research, which were carried out under the set goal and solve the urgent task of developing and improving methods, models, and information technologies for assessing the states of complex spatially distributed objects based on evolutionary interval fuzzy models. A hybrid model for evaluating spatially distributed objects is proposed, which integrates developed fuzzy color Petri nets, models of deterministic, stochastic, and fuzzy knowledge bases, and the logic of manifestation of their interaction. The development allows increasing the probability of making decisions while reducing the dimension of the model by expanding the color function and the function of displaying spatial data. Alternative methods and tools for operational analysis in information technologies for assessing the states of complex spatially distributed objects have been introduced. This made it possible to reduce the influence of the subjective factor on the assessment results and increase the reliability of decisions made while reducing the time spent.uk_UA
dc.identifier.citationTvoroshenko I., and Gorokhovatskyi V. (2022) The Application of Hybrid Intelligence Systems for Dynamic Data Analysis, International Journal of Engineering and Information Systems, 6(2), pp. 40-48.uk_UA
dc.identifier.issn2643-640X
dc.identifier.otherAvailable online: http://ijeais.org/wp-content/uploads/2022/2/IJEAIS220204.pdf
dc.identifier.urihttps://openarchive.nure.ua/handle/document/19878
dc.language.isoenuk_UA
dc.publisherInternational Journal of Engineering and Information Systemsuk_UA
dc.subjectfuzzy logicuk_UA
dc.subjectmembership functionsuk_UA
dc.subjecthybrid modeluk_UA
dc.subjectcolored Petri netsuk_UA
dc.subjectevolutionary interval fuzzy modeluk_UA
dc.subjectdynamic datauk_UA
dc.titleThe Application of Hybrid Intelligence Systems for Dynamic Data Analysisuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

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