Importance measures, also known as importance factorsImportance factor, evaluate the influence of input probabilities on the top event probability [1–3]. In other words, they quantify how changes in a single input probability affect the probability of the top event. These measures offer a quantitative perspective on the key contributors to the system’s risk and sensitivitySensitivity to variations in input parameters: The higher the importance factor of a basic event, the more significant its role in the overall system reliability. Therefore, obtaining accurate data on its exact value is essential.

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Importance Measures

  • Mariëlle Stoelinga,
  • Enno Ruijters,
  • Pavel Krčál

摘要

Importance measures, also known as importance factorsImportance factor, evaluate the influence of input probabilities on the top event probability [1–3]. In other words, they quantify how changes in a single input probability affect the probability of the top event. These measures offer a quantitative perspective on the key contributors to the system’s risk and sensitivitySensitivity to variations in input parameters: The higher the importance factor of a basic event, the more significant its role in the overall system reliability. Therefore, obtaining accurate data on its exact value is essential.