In conventional approach to reliability analysis using logical trees methodologies, uncertainties in system components or basic events failure probabilities are approached by assuming probability distribution functions. However, data are often insufficient for statistical estimation, and therefore it is required to resort to approximate estimations. Moreover, complicate calculations are needed to propagate uncertainties up to the final results. In our work, in order to take account of the uncertainties in system failure probabilities, the methodology based on fuzzy sets theory is used both in fault tree and event tree analyses. This paper just presents our work in this issue, which resulted in a computer program named TREEZZY (TREE fuZZY).
|Title of host publication||PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT|
|Number of pages||6|
|Publication status||Published - 2004|