Risk assessment of critical asset using fuzzy inference system
| Autor: | Mohammad Majid Fouladgar, Mohammad Hossein Basiri, Ali Alidoosti, Morteza Yazdani |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Risk analysis
Economics and Econometrics Actuarial science business.industry Computer science Strategy and Management Fuzzy set Factor analysis of information risk Risk factor (computing) Asset (computer security) IT risk management Risk analysis (engineering) Business and International Management business Risk assessment Finance Risk management |
| Zdroj: | Risk Management. 14:77-91 |
| ISSN: | 1743-4637 1460-3799 |
| DOI: | 10.1057/rm.2011.19 |
| Popis: | Critical infrastructures are the most important sector in countries because of the essentiality of domestic security, public safety, health, socio-economic security and way of life. According to the central role of critical infrastructures, risk analysis can help decision maker to determine the most serious risk items to allocate the limited resources and time. Risk Analysis and Management for Critical Asset Protection (RAMCAP) is one of the best methods for this aim. However, the traditional RAMCAP is criticized for its inability to take into account uncertainty. On other hand, fuzzy sets are able to model the uncertainty. Thus, Fuzzy RAMCAP is introduced in order to extend RAMCAP. Finally, a case study is presented to show the effectiveness and the capability of the new risk analysis model. |
| Databáze: | OpenAIRE |
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