In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian) basic be

This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different

In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian) basic be

The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are availa

Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of