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Reliability Analysis of Computer Security System based on Intuitionistic Fuzzy Fault Tree

机译:基于直觉模糊故障树的计算机安全系统可靠性分析

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Fault tree analysis has been widely used for providing logical functional relationships among subsystems and components of a system and identifying the root causes of the undesired failures in a system. This paper analyzes the reliability of Computer Security System through the method of intuitionistic fuzzy fault tree, which is based on L-R type triangular intuitionistic fuzzy set. In this paper, a new approach of intuitionistic fuzzy fault-tree analysis is proposed to calculate fault interval of system components from integrating expert's knowledge and experience in terms of providing the possibility of failure of bottom events and to find the most critical system component that affects the reliability of the system, which could be used for managerial decision-making. For numerical verification, the proposed method is applied for the failure analysis problem of Computer Security System to generate the fault-tree, fault-tree nodes, then directly compute the intuitionistic fuzzy fault-tree interval, traditional reliability, and the intuitionistic fuzzy reliability interval.
机译:故障树分析已广泛用于提供系统的子系统和组件之间的逻辑功能关系,并识别系统中不期望的失败的根本原因。本文通过直觉模糊故障树的方法分析了计算机安全系统的可靠性,基于L-R型三角直觉模糊集。在本文中,提出了一种新的直觉模糊故障树分析方法,以计算系统组件的故障间隔,从集成专家的知识和体验,提供了底部事件失败的可能性,并找到影响最关键的系统组件系统的可靠性,可用于管理决策。对于数值验证,应用程序的方法应用于计算机安全系统的失败分析问题,以生成故障树,故障树节点,然后直接计算直观的模糊故障树间隔,传统的可靠性和直觉模糊可靠性间隔。

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