Uncertainty analysis in the unavailability assessment using Generalized Stochastic Petri Net with fuzzy parameters

نویسندگان

  • Wassim Snene
  • Walid Mechri
  • Kamel Ben Othman
چکیده

This paper handles the problem of uncertainty in assessment the safety systems using Generalized Stochastic Petri Nets (GSPN). The basic probabilities usually treated to define transition in petri nets (PNs) are substituted by fuzzy number. Experts represent the uncertainties regarding the parameters of the components of systems to assess the influence of this uncertainty on safety system unavailability. The used approach combining Generalized Stochastic Petri Nets (GSPN) and Fuzzy probability revealed how the uncertainty on parameters values of the system affects significantly the performance of system.

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تاریخ انتشار 2017