Recently, the survival signature has been presented as a summary of the structure function
which is sufficient for computation of common reliability metrics and has the crucial …

Random set theory is a general framework which comprises uncertainty in the form of
probability boxes, possibility distributions, cumulative distribution functions, Dempster …

Computer-aided modelling and simulation is now widely recognised as the third 'leg 'of
scientific method, alongside theory and experimentation. Many phenomena can be studied …

Managing the uncertainty in multidisciplinary design of safety-critical systems requires not
only the availability of a single approach or methodology to deal with uncertainty but a set of …

Random set theory is a generalization of Dempster-Shafer evidence theory, that employs an
infinite number of focal elements. It can be used for the estimation of the bounds of the …

Reliability analysis with both aleatory and epistemic uncertainties is investigated in this
paper. The aleatory uncertainties are described with random variables, and epistemic …

OpenCossan 2.0: an efficient computational toolbox for risk, reliability and resilience
analysis Page 1 OpenCossan 2.0: an efficient computational toolbox for risk, reliability and …

Random set theory is a useful tool to quantify lower and upper bounds on the probability of
the occurrence of events given uncertain information represented for example by possibility …

Structural reliability analysis should often face the problem that there is uncertainty about the
probabilistic specification of the input random variables implied in a specific problem. In the …

Everyday systems like communication, transportation, energy and industrial systems are an
indispensable part of our daily lives. Several methods have been developed for their …