Journal of Risk Analysis and Crisis Response

Volume 3, Issue 4, December 2013, Pages 201 - 209

Water Security Risk Assessment of the Yellow River Basin Based on Constrained-Random Weight and Cloud Model

Authors
Song Chenye, Zhang Ren, Zhou Aixia, Hong Mei
Corresponding Author
Zhang Ren
Received 29 October 2013, Accepted 12 December 2013, Available Online 27 December 2013.
DOI
https://doi.org/10.2991/jrarc.2013.3.4.6How to use a DOI?
Keywords
Water Security;Cloud Model;Constrained-Random Weight;Risk Assessment
Abstract
Present risk assessment methods so far were majorly based on the primary knowledge and were incapable of combining uncertainty into risk assessment outputs. In order to solve this problem, a new methodology for risk assessment using constrained-random weight method and cloud model is introduced here to perform the risk assessment of water security in the Yellow River basin. The effect of knowledge deficiency on risk assessment can be illustrated on the instability of risk series by the constrained-random weight method; the result of assessment can incorporate the randomness and fuzziness of risks and corresponding assessments, and transition of quantified risk series into qualitative risk level can be possible as the presence of the cloud model. Experiment about the water security risk assessment of the Yellow River baisin proved the validity and applicability of this method.
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This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
3 - 4
Pages
201 - 209
Publication Date
2013/12/27
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jrarc.2013.3.4.6How 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  - Song Chenye
AU  - Zhang Ren
AU  - Zhou Aixia
AU  - Hong Mei
PY  - 2013
DA  - 2013/12/27
TI  - Water Security Risk Assessment of the Yellow River Basin Based on Constrained-Random Weight and Cloud Model
JO  - Journal of Risk Analysis and Crisis Response
SP  - 201
EP  - 209
VL  - 3
IS  - 4
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2013.3.4.6
DO  - https://doi.org/10.2991/jrarc.2013.3.4.6
ID  - Chenye2013
ER  -