In this paper it is considered the problem of discounting a credal set of probability
distributions by a factor α α representing a degree of unreliability of the information source …

Part 2 of this article is devoted to the analysis of a new class of combination rules on belief
functions generated by conditioning wrt random sets and their linear convex combinations …

In the post September 11 era, the demand for security has increased in virtually all parts of
the society. The need for increased security originates from the emergence of new threats …

Bayesian theory [5] is one of the most commonly utilized theories for managing uncertainty
in information fusion [20, 12]. The theory relies on two main assumptions:(1) a probability …

We extend the State-Based Anomaly Detection approach by introducing precise and
imprecise anomaly detectors using the Bayesian and credal combination operators, where …

High-level information fusion is a research field in which methods for achieving an overall
understanding of the current situation in an environment of interest are studied. The ultimate …

When working with sets of probabilities, basic information fusion operators quickly reach
their limits: intersection becomes empty, while union results in a poorly informative model …

We are interested in whether or not there exist any advantages of utilizing credal set theory
for the discrete state estimation problem. We present an experiment where we compare in …

We utilize second-order probability distributions for modeling second-order information over
imprecise evidence in the form of credal sets. We generalize the Dirichlet distribution to a …

Sources providing information about the value of a variable may not be totally reliable. In
such a case, it is common in uncertainty theories to take account of this unreliability by a so …