Risks Prediction and Processes Optimization for Complex Systems on the Base of Probabilistic Modeling
Authors
A. Kostogryzov, P. Stepanov, A. Nistratov, G. Nistratov, O. Atakishchev, V. Kiselev
Corresponding Author
A. Kostogryzov
Available Online May 2016.
- DOI
- 10.2991/amsm-16.2016.43How to use a DOI?
- Keywords
- model; optimization; probability; quality; resources; risk; system; technology
- Abstract
The probabilistic models and methods for risk prediction and processes optimization, considering characteristics of threats, the measures of control, monitoring and recovery for complex system are proposed. The way of generating new models to increase an accuracy of probabilistic modeling is described. Examples of applications cover detailed studying "human factor", some infrastructure, description of problems for risk analysis and optimization, implementation in the Complex of supporting technogenic safety on the objects of oil & gas distribution. The research is supported by the Russian Scientific Fund.
- Copyright
- © 2016, 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 - A. Kostogryzov AU - P. Stepanov AU - A. Nistratov AU - G. Nistratov AU - O. Atakishchev AU - V. Kiselev PY - 2016/05 DA - 2016/05 TI - Risks Prediction and Processes Optimization for Complex Systems on the Base of Probabilistic Modeling BT - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling PB - Atlantis Press SP - 186 EP - 192 SN - 2352-538X UR - https://doi.org/10.2991/amsm-16.2016.43 DO - 10.2991/amsm-16.2016.43 ID - Kostogryzov2016/05 ER -