RESEARCH OF INTELLECTUAL MODELS FOR CLASSIFICATION OF UNCERTAIN DATA WITH REQUIREMENTS FOR RESULT RELIABILITY
DOI:
https://doi.org/10.34185/1991-7848.itmm.2024.01.096Keywords:
template set classification, uncertain data, dimensionality reduction, Cohen's kappa statistics, fuzzy variables, certainty factor CF(A), modified Hamming network, information technology, software, authorship determination task and performer assignment/selection.Abstract
The report contains the results of research and development of intellectual models for managing complex systems under conditions of data uncertainty based on classification procedures, which ensure reliable solution of tasks considering the assessment of the boundary dimensionality of models. The possibilities of improving Hamming neural networks for data classification in formats of fuzzy variables and certainty factor CF(A) are investigated. The features of the mathematical model of classification tasks based on a set of feature templates are determined. A software complex of information technology for assignment/selection of performers, as well as determination of authorship of Ukrainian-language works based on classification of sets of templates with certain fuzzy features, is presented. The software complex utilizes the reduction and Cohen's kappa statistics procedures proposed in the report.
References
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