Browsing by Author "Kryvoruchko, A. I."

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    Methodology of Comprehensive Diagnostics of Technical Educational and Scientific Cluster Management Risks
    (Dnipro University of Technology, Dnipro, 2025) Bazhan, Serhii P.; Harmider, L. D.; Korotka, Larysa I.; Kryvoruchko, A. I.
    ENG: Purpose. Substantiation of the methodological approach to assessing the indispensable dangers of managing a technical educational and scientific cluster based on utilizing a fuzzy rationale instrument in order to distinguish issues within the educational cluster and give suitable suggestions for their solution. Methodology. The methodological premise of the research is the classical provisions and fundamental works by foreign and domestic scientists, statistical data, and the results of unique investigation on the issues of surveying the dangers of cluster improvement. The research utilized the method of fuzzy set theory, comparative analysis, method of abstractions, generalization of the results of advanced theoretical research, a systematic and comprehensive approach. Findings. A methodological approach to surveying the dangers of managing a technical educational and scientific cluster was proposed, various tests were carried out based on the official statistics. The analysis of the results of evaluating the main components that impact the performance of the technical educational and scientific cluster made it possible to distinguish issues within the functioning of the cluster and to identify ways to solve them. Originality. The methodological approach to the evaluation of integral dangers based on the device of fuzzy rationale has been progressed, which, unlike the existing ones, permits you to coordinate strategies of the theory of fuzzy sets and fuzzy rationale and permits you to achieve more exact and important outcomes compared to the conventional strategies. The proposed approach can be utilized in different areas where processing of expansive volumes of fuzzy data is required. Practical value. The practical significance of the study arises from the possibility of applying the developed fuzzy model for making managerial decisions in a technical educational and scientific cluster under conditions of uncertainty.