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Fuzzy identification of the state of IT corporation

Authors: Goloskokov, Oleksandr Evgenovich; Drach, Tetjana Oleksandrivna; Shapoval, Serhii Evgenovich;

Fuzzy identification of the state of IT corporation

Abstract

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.

Country
Ukraine
Related Organizations
Keywords

Technology, fuzzy situations, T, corporate governance, нечеткие ситуации, управління корпорацією; нечіткі ситуації; ситуаційне нечітке управління; ідентифікація стану корпорації, управление корпорацией, управления корпорацией; нечеткие ситуации; ситуационное нечеткое управление; идентификация состояния корпорации, situational fuzzy management, управління корпорацією, ситуаційне нечітке управління, ситуационное нечеткое управление, corporate governance; fuzzy situations; situational fuzzy management; identification of the state of the corporation, нечіткі ситуації, ідентифікація стану корпорації

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold