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Fault-tree Analysis on Computer Security System Using Intuitionistic Fuzzy Sets

机译:基于直觉模糊集的计算机安全系统故障树分析

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Intuitionistic fuzzy set is a useful tool to express experts' uncertain knowledge and experience information. Most computer security systems have abnormal states and their failure behaviors are always characterized in uncertainty and inaccuracy. How to calculate fault interval of system components is an interesting and important issue in intuitionistic fuzzy faulttree analysis (IFFTA). Intuitionistic fuzzy fault diagnosis models are proposed in this paper to analyze fuzzy system reliability and to find the most critical system component for the decisionmaking based on some basic definitions. The proposed method is applied for the failure analysis problem of computer security systems and comparative studies are conducted to show its flexibility and effectiveness with the other fault tree analysis models.
机译:直觉模糊集是表达专家不确定的知识和经验信息的有用工具。大多数计算机安全系统具有异常状态,其故障行为始终具有不确定性和不准确性。如何计算系统组件的故障间隔是直觉模糊故障树分析(IFFTA)中一个有趣且重要的问题。提出了一种直觉的模糊故障诊断模型,用于分析模糊系统的可靠性,并根据一些基本定义找到决策中最关键的系统组成部分。将该方法应用于计算机安全系统的故障分析问题,并与其他故障树分析模型进行了比较研究,表明了该方法的灵活性和有效性。

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