title: ÐÐ¾Ð´ÐµÐ»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÐ¸ÑÐºÐ¾Ð² Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾ÐµÐºÑÐ° Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ ÑÐµÐ¾ÑÐ¸Ð¸ Ð½ÐµÑÐµÑÐºÐ¸Ñ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ² Ð¸ Ð±Ð°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¸Ñ ÑÐµÑÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Model for assessing the risks of an innovative project using fuzzy sets and Bayesian networks
Creators: name: Ð¡Ð¼Ð¸ÑÐ½Ð¾Ð²Ð°, ÐÑÐ´Ð¼Ð¸Ð»Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¸ÑÐºÐ¸
ÑÐ¸ÑÐºÐ¸ Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾ÐµÐºÑÐ°
Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð¿ÑÐ¾ÐµÐºÑ
Ð¸Ð½Ð½Ð¾Ð²Ð°ÑÐ¸Ñ
ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ÑÐ¸ÑÐºÐ°Ð¼Ð¸
Ð¾ÑÐµÐ½ÐºÐ° ÑÐ¸ÑÐºÐ¾Ð²
Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¸ÑÐºÐ¾Ð²
ÑÐµÐ¾ÑÐ¸Ñ Ð½ÐµÑÐµÑÐºÐ¸Ñ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²
Ð±Ð°Ð¹ÐµÑÐ¾Ð²ÑÐºÐ¸Ðµ ÑÐµÑÐ¸
risks
risks of an innovative project
innovative project
innovation
risk management
risk assessment
risk analysis
fuzzy set theory
bayesian networks

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description: The purpose of the dissertation research is to develop a risk assessment model for an innovative project using the theory of fuzzy sets and Bayesian networks, which provides a more accurate and reliable risk assessment in conditions of a high level of project uncertainty. The object of the research is an innovative project. The subject of the research is an assessment of the risks of an innovative project. The scientific result of the work is a risk assessment model for an innovative project, which will allow calculating an integrated project risk indicator and based on this, making informed decisions in risk management at a high level of project uncertainty through the joint use of methods such as fuzzy set theory and Bayesian networks. The practical significance of the research lies in the fact that the risk assessment model of innovative projects, based on the theory of fuzzy sets and Bayesian networks, will allow assessing the complex risk of an innovative project in conditions of high uncertainty, making informed decisions based on the assessment and improving the management of innovative projects, minimizing potential losses and increasing the success of implementation. â