Please use this identifier to cite or link to this item: http://repository.kpi.kharkov.ua/handle/KhPI-Press/56466
Title: Modelling Decision Making under Uncertainty for Strategic Forecasting
Authors: Korepanov, Oleksiy
Mekhovich, Sergey
Karpenko, Nataliya
Kryvytska, Olha
Kovalskyi, Andrii
Karpenko, Roman
Keywords: decision making; forecast; modeling; uncertainty; strategy
Issue Date: 2019
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication, India
Citation: Modelling Decision Making under Uncertainty for Strategic Forecasting / O. Korepanov [et al.] // International Journal of Recent Technology and Engineering. – 2019. – Vol. 8, iss. 3. – P. 7251-7255.
Abstract: In current market conditions, the key to productive economic activity is the ability to provide a high-quality forecast, even in situations of insufficient information. Strategic forecasting refers to this type of activity, errors in which the actions of any company can have a detrimental effect on the fundamental level. The justification and selection of specific management decisions can often be carried out in conditions of uncertainty due to the inability to clearly predict the values of the final results of these decisions. The decision-making system within the framework of the strategic forecasting task should help maintain the effectiveness of actions by simplifying the picture of the real world by modelling it. While allowing to reduce the influence of the subjectivity of the personality of the decision-maker on the decision-making process itself.
DOI: doi.org/10.35940/ijrte.C6312.098319
URI: http://repository.kpi.kharkov.ua/handle/KhPI-Press/56466
Appears in Collections:Кафедра "Туризм i готельно-ресторанний бізнес"

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