Journal of Risk Analysis and Crisis Response

Volume 4, Issue 1, March 2014, Pages 43 - 48

A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure

Authors
Jun-ichi Takeshita, Hiroaki Mohri
Corresponding Author
Jun-ichi Takeshita
Received 17 December 2013, Accepted 10 March 2014, Available Online 25 March 2014.
DOI
10.2991/jrarc.2014.4.1.5How to use a DOI?
Keywords
game theory, cooperative game, Shapley value, risk management, network structure
Abstract

The principal aim of this paper is to introduce the framework for a cooperative game theoretical approach to risk analysis using network structure. Probabilistic risk analysis (PRA) is a common methodology for evaluating risks associated with real-world network structure. Although there are numerous studies on PRA from a physical engineering perspective, Hausken (2002) noted that human behavior is a significant factor in estimating risk using PRA, and he integrated PRA and game theory. While his and related works focused on non-cooperative game theory, in some situations, such as chemical plants, cooperative structures are the norm. Therefore, we here provide a risk analysis method based on cooperative game theory, and especially so-called Shapley values.

Copyright
© 2013, 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
4 - 1
Pages
43 - 48
Publication Date
2014/03/25
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2014.4.1.5How to use a DOI?
Copyright
© 2013, 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  - Jun-ichi Takeshita
AU  - Hiroaki Mohri
PY  - 2014
DA  - 2014/03/25
TI  - A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure
JO  - Journal of Risk Analysis and Crisis Response
SP  - 43
EP  - 48
VL  - 4
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2014.4.1.5
DO  - 10.2991/jrarc.2014.4.1.5
ID  - Takeshita2014
ER  -