Conservative, Proportional and Optimistic Contextual Discounting in the
  Belief Functions Theory
  Information discounting plays an important role in the theory of belief
functions and, generally, in information fusion. Nevertheless, neither
classical uniform discounting nor contextual cannot model certain use cases,
notably temporal discounting. In this article, new contextual discounting
schemes, conservative, proportional and optimistic, are proposed. Some
properties of these discounting operations are examined. Classical discounting
is shown to be a special case of these schemes. Two motivating cases are
discussed: modelling of source reliability and application to temporal
discounting.
