Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)

Grey and Fuzzy Evaluation of Information System Disaster Recovery Capability

Authors
Chunyang Yuan, Jiaxin Li, Ru Zhang, Jianyi Liu
Corresponding Author
Chunyang Yuan
Available Online July 2013.
DOI
https://doi.org/10.2991/cse.2013.67How to use a DOI?
Keywords
information system;disaster recovery;fuzzy and grey comprehensive evaluation;indicator system;evaluation model
Abstract
Disaster recovery is the key approach to ensure the security of information system and business continuity. Nowadays, it's very urgent to explore a way to evaluate the disaster recovery ability objectively, comprehensively and scientifically before disaster occurs. Initially, our proposal constructs an evaluation system for disaster recovery ability based on the extensive work abroad and domestic in this field. Then, we decide the weight of the evaluation in each level using the hierarchical method. In addition, I make use of expert scoring method to grade different norm set. Finally I employ the fuzzy and gray comprehensive evaluation system to evaluate the recovery ability. According to the result of my research, it's feasible to apply the fuzzy gray comprehensive evaluation method to evaluate disaster recovery ability.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90786-77-70-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/cse.2013.67How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chunyang Yuan
AU  - Jiaxin Li
AU  - Ru Zhang
AU  - Jianyi Liu
PY  - 2013/07
DA  - 2013/07
TI  - Grey and Fuzzy Evaluation of Information System Disaster Recovery Capability
BT  - 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SP  - 300
EP  - 304
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.67
DO  - https://doi.org/10.2991/cse.2013.67
ID  - Yuan2013/07
ER  -