Перегляд за Автор "Hnatchuk, Alina"

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  • Ескіз
    Документ
    Adaptive multicriteria model for supporting decision-making in sports selection problems
    (Хмельницький національний університет, 2026) Hnatchuk, Alina; Hnatchuk, Yaroslav
    In the current environment of information technology development, intelligent data analysis, and decision support systems, there is a need to formalize and automate sports selection processes. Existing models of multi-criteria assessment of athletes are usually static in nature and focused only on analyzing the current level of preparedness, which limits their effectiveness in selecting young candidates for whom development potential is important. This paper proposes an adaptive multicriteria decision support model that integrates the assessment of the current level of candidates' characteristics with formalized consideration of their development dynamics over time. A mathematical apparatus for forming an integral assessment of prospects has been developed, based on the hierarchical aggregation of normalized indicators and the application of the hierarchy analysis method to determine weight coefficients. For the first time, a generalized characteristic indicator has been introduced, which combines normalized indicator values and the rate of their change, allowing not only current results but also development prospects to be assessed. An experimental study on a sample of 24 candidates showed a heterogeneous structure of the distribution of integral assessments, which confirms the feasibility of using adaptive thresholds to classify candidates according to their level of prospects. The sensitivity of the model to changes in the α parameter, which allows adjusting the balance between current indicators and development dynamics, was analyzed. The results confirmed the stability of the model and the consistency of the overall ranking structure of candidates when changing weight parameters. The proposed model ensures transparency, reproducibility, and interpretability of the assessment, which makes it suitable for use in intelligent decision support systems for the selection of young athletes. The practical benefit of the model is that it allows coaches and sports selection specialists to effectively and objectively identify candidates with high development potential, taking into account both their current level of preparedness and the dynamics of their characteristics. The model can be integrated into intelligent decision support systems for planning the training process and strategically forming teams of young athletes.
  • Ескіз
    Документ
    Research of methods of seat distribution in public transport
    (Хмельницький національний університет, 2022) Hnatchuk, Yelyzaveta; Boiko, Anita; Hnatchuk, Alina; Гнатчук, Єлизавета; Бойко, Аніта; Гнатчук, Аліна
    In large cities, especially during a pandemic, the problem of allocating seats in transport and building the most successful route is an urgent task. The study of four methods of distribution of seats in public transport. Their advantages and disadvantages are investigated. According to the results of the research, it became clear that the existing methods alone do not allow to effectively solve the problem of distribution of seats in transport, so it is necessary to either improve existing methods or develop new methods. Improving existing methods is possible by either combining several methods into one or adding certain elements that eliminate existing shortcomings or minimize their impact on the effectiveness of the method. According to the results of the research, the method of electronic seat selection has been improved in terms of adding seat weight sensors, which makes it possible to record the number of occupied seats and helps to provide information to passengers using a mobile application for free seats. The method was also further developed with the help of a mobile application that allows you to pave a route and helps you choose a convenient place to travel to your destination.