In modern engineering, computer simulations are a popular tool to analyse, design, and
optimize systems. Furthermore, concepts of uncertainty and the related reliability analysis …

A generalised uncertainty quantification framework for resilience assessment of weather-
coupled, repairable power grids is presented. The framework can be used to efficiently …

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

Reliability assessment in presence of epistemic uncertainty leads to consider the failure
probability as a quantity depending on the state of knowledge about uncertain input …

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 …

Fuzzy probability theory is an extension to probability theory to dealing with a mix of
probabilistic uncertainty and non-probabilistic imprecision. It provides a theoretical basis to …

This paper presents an approach for estimating the fuzzy failure probability associated with
reliability problems where uncertainty is characterized through random variables whose …

Reliability analysis of linear discretized structural systems with interval uncertainties
subjected to stationary Gaussian random excitation is addressed. Under the assumption of …

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 …