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    Fuzzy identification of the state of IT corporation
    (НТУ "ХПИ", 2017) Goloskokov, Oleksandr Evgenovich; Drach, Tetjana Oleksandrivna; Shapoval, Serhii Evgenovich
    The methods and approaches to solving the problem of corporate governance are analyzed. Economic, social-psychological, administrative methods of corporate management are considered. Situational, systemic, situational fuzzy approaches to corporate management are considered. It was decided to apply a situational fuzzy approach to solving the research problem. It is proposed to use the k-means clustering algorithm in order to distribute fuzzy situations by classes. Clustering problem is solved. The task of identifying the state of IT corporation. An example has been calculated with which you can conduct a comprehensive study of the state of the object, which allows you to get a full understanding of the estimated IT corporation not only at the time of the assessment, but also in the retrospective and forecast periods.