• representing the classification model for critical infrastructure vulnerability using fuzzy logic

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1389/07/20
    • تاریخ انتشار در تی پی بین: 1389/07/20
    • تعداد بازدید: 756
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     critical infrastructures are one of the most important parts in every country. so that one country with damaged critical infrastructure will not be able to protect itself against other country. so this part is paid attention by governments. protecting and ensuring the resiliency of the critical infrastructure and key resources is essential to the nation’s security, public health and safety, economic vitality, and way of life. identification of vulnerability size can be useful in decision making and planning, and management will be able to do the fit reaction in against of dangerous. one of the best methods to identify is classification. there are different methods for classification, one of which is fuzzy set theory. fuzzy set theory generalizes ordinary or classical sets in an attempt to model and simulate human linguistic reasoning in a domain characterized by incomplete, imprecise, uncertain and vague data. this article tries to present a model for critical infrastructure reliability and vulnerability. the results showed this model is very strength in classification and by virtue of this model has a high efficiency.

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