International Journal of Computational Intelligence Systems

Volume 3, Issue 1, April 2010, Pages 1 - 7

Implications of Fuzziness for the Practical Management of High-Stakes Risks

Authors
Mark Jablonowski
Corresponding Author
Mark Jablonowski
Available Online 1 April 2010.
DOI
https://doi.org/10.2991/ijcis.2010.3.1.1How to use a DOI?
Keywords
Risk; fuzziness; risk management; danger
Abstract
High-stakes (dangerous, catastrophic) risks take on a wider profile as progress unfolds. What are the impacts of technological and social change on the risk landscape? Due to the complexities and dynamics involved, we can only answer these questions approximately. By using the concept of fuzziness, we can formalize our imprecision about high-stakes risk, and therefore place their management on a stronger footing. We review here the impacts of fuzziness, i.e., knowledge imperfection, on high-stakes risk management, including its implementation via computationally intelligent decision aids.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 1
Pages
1 - 7
Publication Date
2010/04
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2010.3.1.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Mark Jablonowski
PY  - 2010
DA  - 2010/04
TI  - Implications of Fuzziness for the Practical Management of High-Stakes Risks
JO  - International Journal of Computational Intelligence Systems
SP  - 1
EP  - 7
VL  - 3
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.1.1
DO  - https://doi.org/10.2991/ijcis.2010.3.1.1
ID  - Jablonowski2010
ER  -