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Method of Assessing the State of Hierarchical Objects based on Bio-Inspired Algorithms

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dc.contributor.authorOdarushchenko, O. B.
dc.contributor.authorОдарущенко, Олена Борисівна
dc.date.issued2023
dc.description.abstractNowadays, no state in the world is able to work on the creation and implementation of artificial intelligence in isolation from others. Artificial intelligence technologies are actively used to solve both general and highly specialized tasks in various spheres of society. In the process of assessing (identifying) the state of complex and objects of analysis and management, there is a high degree of a priori uncertainty regarding their state and a small amount of initial data describing them. At the same time, despite the huge amount of information, the degree of non-linearity, illogicality and noisy data is increasing. That is why the issue of improving the efficiency of assessing the condition of complex and objects is an important and urgent issue. The object of research is the objects of analysis. The subject of the research is the identification and forecasting of the analysis objects state with the help of bio-inspired algorithms. In the research, the evaluation and forecasting method was developed using fuzzy cognitive maps and the genetic algorithm.
dc.identifier.citationMethod of Assessing the State of Hierarchical Objects based on Bio-Inspired Algorithms / A. Shyshatskyi et al. Advanced Information Systems, 2023, Vol 7, № 3. Pp. 44–48.
dc.identifier.otherUDC 004.8
dc.identifier.urihttps://doi.org/10.20998/2522-9052.2023.3.06
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/22180
dc.language.isoen
dc.publisherAdvanced Information Systems
dc.relation.ispartofseries7(3)
dc.subjectobjects of analysis
dc.subjectbio-inspired algorithms
dc.subjectcomplex technical systems
dc.subjectfuzzy cognitive maps
dc.subjectuncertainty
dc.titleMethod of Assessing the State of Hierarchical Objects based on Bio-Inspired Algorithms
dc.title.alternativeМетод оцінки стану ієрархічних об'єктів на основі біоінспірованих алгоритмів
dc.typeArticle
dspace.entity.typePublication
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