40 years of Dempster-Shafer theory | International Journal of Approximate Reasoning skip to
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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 …

The tendency of uncertainty analysis has promoted the transformation of sensitivity analysis
from the deterministic sense to the stochastic sense. This work proposes a stochastic …

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 …

Explanation abilities are required for data-driven models, where the high number of
parameters may render its internal reasoning opaque to users. Despite the natural …

Sensitivity indices are commonly used to quantify the relative influence of any specific group
of input variables on the output of a computer code. In this paper, we focus both on computer …

Numerical simulators are widely used to model physical phenomena and global sensitivity
analysis (GSA) aims at studying the global impact of the input uncertainties on the simulator …

As Dempster–Shafer theory spreads in different application fields, and as mass functions are
involved in more and more complex systems, the need for algorithms randomly generating …