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首页> 外文会议>The 2nd International Conference on Risk Analysis and Crisis Response(第二届风险分析与危机反应国际学术研讨会) >Fuzzy Reliability Analysis in Risk Management
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Fuzzy Reliability Analysis in Risk Management

机译：风险管理中的模糊可靠性分析

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Reliability analysis is an engineering discipline that applies various mathematical techniques to the measurement and prediction of the reliability of components and systems. The components under study may be mechanical, electronic, software, or other types. Measurements include failure rates, cumulative failures, and component lifetimes (time until failure). A variety of techniques are employed, drawn mainly from probability, statistics, and the theory of stochastic processes. Risk analysis includes methods for the assessment, characterization, and management of risk. "Risk" is generally taken to be the product of the probability of an event and the loss caused by the event (in financial or other measurable terms). Risks are often associated with failures of systems (including natural ecosystems), and thus the quantitative treatment of risk has much in common with reliability analysis. In this paper, we use fuzzy parameters in reliability analysis and show the importance of fuzziness in reliability and risk management. Using fuzzy exposure and resistance concepts, we compare the alternative locations for a nuclear power plant.
机译：可靠性分析是一门工程学科，将各种数学技术应用于组件和系统可靠性的测量和预测。研究中的组件可能是机械的，电子的，软件的或其他类型的。测量包括故障率，累积故障和组件寿命（直至故障的时间）。采用了多种技术，主要是从概率，统计和随机过程理论中汲取的。风险分析包括评估，表征和管理风险的方法。 “风险”通常被认为是事件发生概率与事件造成的损失（以财务或其他可衡量的术语表示）的乘积。风险通常与系统（包括自然生态系统）的故障有关，因此风险的定量处理与可靠性分析有很多共同点。在本文中，我们在可靠性分析中使用模糊参数，并显示了模糊性在可靠性和风险管理中的重要性。使用模糊暴露和阻力概念，我们比较了核电站的替代位置。

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