K.A. Goncharov1, V.A. Sudakov2
1, 2 Financial University under the Government of Russian Federation (Moscow, Russia)

1 goncharovkostya.1997@gmail.com

In modern conditions, automated data analysis technologies are of particular interest not only for the scientific community, but also for such spheres of life as business, healthcare, state and municipal administration and many others. The need to implement and use technologies of this class is usually due to the presence of large volumes of research data that cannot be analyzed manually. At the same time, certain parameters in the data sets under study can be specified in a fuzzy form, which significantly complicates the task of data analysis, but when using automated technologies that can work with fuzzy information, the desired solution can be obtained as efficiently and accurately as possible. The most important class of tasks solved in the course of an organization’s activities are management tasks. These problems can be reduced to the terminology of problems of multicriteria analysis of alternatives. This article will present a methodology for solving problems of multicriteria analysis of alternatives in a fuzzy information environment using automated data analysis technologies.

Goncharov K.A., Sudakov V.A. Application of automated data analysis tools in tasks of multicriterial analysis of alternatives in a fuzzy information environment. Neurocomputers. 2025. V. 27. № 4. P. 17–23. DOI: https://doi.org/10.18127/j19998554-202504-02 (in Russian)

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