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Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles

Authors :
Malinowski Krzysztof
Karbowski Andrzej
Source :
International Journal of Applied Mathematics and Computer Science, Vol 30, Iss 3, Pp 597-609 (2020)
Publication Year :
2020
Publisher :
Sciendo, 2020.

Abstract

We present a real-time hierarchical approach to an on-line risk assessment at the national level taking into account both local risk analyses performed by key service operators and relevant interdependencies between those services. For this purpose we define mutually agreed predicted service disruption profiles and then propose a coordination mechanism to align those profiles. A simple, four-entity example is provided to illustrate the coordination.

Details

Language :
English
ISSN :
20838492
Volume :
30
Issue :
3
Database :
Directory of Open Access Journals
Journal :
International Journal of Applied Mathematics and Computer Science
Publication Type :
Academic Journal
Accession number :
edsdoj.374438294efe444e964b82bdb71fc364
Document Type :
article
Full Text :
https://doi.org/10.34768/amcs-2020-0044