Cognitive Fuzzy Logic Modeling of Project Risks
- https://doi.org/10.2991/aisr.k.201029.015How to use a DOI?
- fuzzy logic, cognitive modeling, industrial enterprise projects, project risk
In this article, using the fuzzy logic and cognitive modeling apparatus, the general provisions of intelligent support for management activities in projects are presented. In the context of digitalization of the economy the solution proposed is relevant. It can be used in development of a strategy for technical re-equipment and modernization of industrial enterprises. The proposed solution is based on intelligent management methods, along with a project approach. The paper proposes a system model of project technical and technological re-equipment of industrial enterprises (TTRIE). The results of industrial development projects are uncertain. There are always risks that the actual production and commercial performance will deviate for the worse. In most cases, project risk assessments are presented with verbal information. Based on the developed concept, it becomes possible to integrate information support and optimize management in accordance with the project performance criteria, taking into account the target function (strategy) and actual conditions (project risks).
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alexander Borovsky AU - Natalia Shumilina PY - 2020 DA - 2020/11/10 TI - Cognitive Fuzzy Logic Modeling of Project Risks BT - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020) PB - Atlantis Press SP - 73 EP - 77 SN - 1951-6851 UR - https://doi.org/10.2991/aisr.k.201029.015 DO - https://doi.org/10.2991/aisr.k.201029.015 ID - Borovsky2020 ER -