Journal of Risk Analysis and Crisis Response

Volume 7, Issue 2, July 2017, Pages 64 - 71

Risk Combinations in the Risk Analysis and Management

Authors
Milík Tichý
Corresponding Author
Milík Tichý
Received 29 November 2016, Accepted 25 April 2017, Available Online 3 July 2017.
DOI
10.2991/jrarc.2017.7.2.2How to use a DOI?
Keywords
Combined risks, multiple perils, combination, existential relation, sequential relation, estimate
Abstract

The analogies between the risks carried by entities and the physical loads affecting building and engineering structures can be applied in the studies of risks forming groups arranged according to specified definitions. Four classes of relations among risks belonging to a particular hazard are to be distinguished: existential, sequential, physical, and statistical. The type and number of possible groupings of combined risks, called "risk combinations", depends upon the type of existential and sequential relations among the risks affecting the respective entity. The results of the analysis from this study can be used in decision makings on which risks are to be considered in the decisions. The combined-risk problem relates to various fields of risk engineering and management as, such as seismic engineering, medicine, agriculture, economic engineering.

Copyright
© 2017, 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/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
7 - 2
Pages
64 - 71
Publication Date
2017/07/03
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2017.7.2.2How to use a DOI?
Copyright
© 2017, 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  - JOUR
AU  - Milík Tichý
PY  - 2017
DA  - 2017/07/03
TI  - Risk Combinations in the Risk Analysis and Management
JO  - Journal of Risk Analysis and Crisis Response
SP  - 64
EP  - 71
VL  - 7
IS  - 2
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2017.7.2.2
DO  - 10.2991/jrarc.2017.7.2.2
ID  - Tichý2017
ER  -