Security risk assessment: applying the concepts of fuzzy logic.
Security risk assessment: applying the concepts of fuzzy logic.
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DOI：
10.1016/j.jhazmat.2009.08.078
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发表时间：
2010-01
影响因子：
13.6
通讯作者：
S. Bajpai;A. Sachdeva;J. P. Gupta
中科院分区：
文献类型：
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作者：
S. Bajpai;A. Sachdeva;J. P. Gupta
大量处理危险化学品的化学加工工业 (CPI) 可能成为恐怖分子、犯罪分子和心怀不满的员工蓄意对抗行动的有吸引力的目标。因此，必须制定全面的安全风险管理计划，包括有效的安全风险评估技术。在早期的工作中，已经表明可以通过进行威胁和漏洞分析或开发安全风险因素表（SRFT）来完成安全风险评估。可以开发基于场景的 HAZOP 类型漏洞评估表。在SRFT模型中，使用了位置、所有权、可见性、库存等重要的安全风险承受因素。在本文中，使用模糊逻辑的概念对早期开发的 SRFT 模型进行了修改。在改进的SRFT模型中，基于梯形模糊数设计了两种语言模糊尺度（三点和四点）。与之前的 SRFT 模型相关的不同专家的人类主观性通过将他们的分数映射到新设计的模糊量表来解决。最后，对得到的模糊分数进行去模糊处理，得到结果。使用炼油厂的测试案例来解释该方法并与早期的工作进行比较。
Chemical process industries (CPI) handling hazardous chemicals in bulk can be attractive targets for deliberate adversarial actions by terrorists, criminals and disgruntled employees. It is therefore imperative to have comprehensive security risk management programme including effective security risk assessment techniques. In an earlier work, it has been shown that security risk assessment can be done by conducting threat and vulnerability analysis or by developing Security Risk Factor Table (SRFT). HAZOP type vulnerability assessment sheets can be developed that are scenario based. In SRFT model, important security risk bearing factors such as location, ownership, visibility, inventory, etc., have been used. In this paper, the earlier developed SRFT model has been modified using the concepts of fuzzy logic. In the modified SRFT model, two linguistic fuzzy scales (three-point and four-point) are devised based on trapezoidal fuzzy numbers. Human subjectivity of different experts associated with previous SRFT model is tackled by mapping their scores to the newly devised fuzzy scale. Finally, the fuzzy score thus obtained is defuzzyfied to get the results. A test case of a refinery is used to explain the method and compared with the earlier work.