| dc.contributor.author | Lialiuk, O. | en |
| dc.contributor.author | Zhenhua, Y. | en |
| dc.contributor.author | Лялюк, О. Г. | uk |
| dc.date.accessioned | 2025-08-13T09:46:02Z | |
| dc.date.available | 2025-08-13T09:46:02Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Lialiuk O., Zhenhua Y. Modeling the multifactorial process of forecasting effective project management // Матеріали Всеукраїнської науково-практичної інтернет-конференції «Молодь в науці: дослідження, проблеми, перспективи (МН-2025)», Вінниця, 15-16 червня 2025 р. Електрон. текст. дані. 2025. URI: https://conferences.vntu.edu.ua/index.php/mn/mn2025/paper/view/25319. | en, uk |
| dc.identifier.uri | https://ir.lib.vntu.edu.ua//handle/123456789/48100 | |
| dc.description.abstract | The paper considers approaches to modeling the multifactorial process of project management efficiency forecasting. An analysis of key factors influencing the effectiveness of management decisions in project activities is carried out. The use of mathematical models and multifactor analysis methods is proposed to increase forecasting accuracy. Emphasis is placed on the integration of statistical, economic and organizational parameters into a single forecasting system. The results obtained can be used to optimize the management of complex projects in various fields of activity. | en |
| dc.language.iso | en_US | en_US |
| dc.publisher | ВНТУ | uk |
| dc.relation.ispartof | Матеріали Всеукраїнської науково-практичної інтернет-конференції «Молодь в науці: дослідження, проблеми, перспективи (МН-2025)», Вінниця, 15-16 червня 2025 р. | uk |
| dc.relation.uri | https://conferences.vntu.edu.ua/index.php/mn/mn2025/paper/view/25319 | |
| dc.subject | management system | en |
| dc.subject | expert modeling system | en |
| dc.subject | unclear logic | en |
| dc.subject | linguistic variable | en |
| dc.subject | optimization | en |
| dc.subject | effect | en |
| dc.subject | effect | en |
| dc.title | Modeling the multifactorial process of forecasting effective project management | en |
| dc.type | Thesis | |
| dc.identifier.udc | 69.003:005.8:519.876.5 | |
| dc.relation.references | N. Yau and J. Yang, Case-Based Reasoning in Construction Management, Computer Aided Civil and
Infrastructure Engineering (1998). | en |
| dc.relation.references | R. Fayek Aziz, S. M. Hafez and Y. R. Abuel-Magd, Smart optimization for mega construction projects
using artificial intelligence, Alexandria Engineering Journal (2014). | en |
| dc.relation.references | Lyaluk O.G., Osypenko R.S. Features of the implementation of artificial intelligence in construction.
Modern technologies, materials and structures in construction”. - Vinnytsia: Universam - Vinnytsia, No. 2,
2023. – P.172-176. | en |
| dc.relation.references | Lyaluk O.G., Osypenko R.S. Melnyk D.V. Decision support systems in construction projects based on
Bayesian networks. Modern technologies, materials and structures in construction. Vinnytsia: Universam -
Vinnytsia, Vol. 21, No. 1, 2024. P. 96-102. | en |
| dc.relation.references | Rothstein A.P. Medical diagnostics based on odd logic. - Vinnytsia: Continent - PRIM, 1996. - 132 p. | en |
| dc.relation.references | Rotshtein, A. P. Intelligent identification technologies: fuzzy sets, genetic algorithms, neural networks.
Vinnytsia: UNIVERSUM-Vinnytsia.1999. | en |
