Risk assessment of critical asset using fuzzy inference system

التفاصيل البيبلوغرافية
العنوان: Risk assessment of critical asset using fuzzy inference system
المؤلفون: Mohammad Majid Fouladgar, Mohammad Hossein Basiri, Ali Alidoosti, Morteza Yazdani
المصدر: Risk Management. 14:77-91
بيانات النشر: Springer Science and Business Media LLC, 2012.
سنة النشر: 2012
مصطلحات موضوعية: 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
الوصف: 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.
تدمد: 1743-4637
1460-3799
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d7f3b54e57cc44557e0ec20fc7ca1e89
https://doi.org/10.1057/rm.2011.19
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........d7f3b54e57cc44557e0ec20fc7ca1e89
قاعدة البيانات: OpenAIRE