Generalized basic probability assignments

Dempster-Shafer theory allows to construct belief functions from
(precise) basic probability assignments. The present paper extends
this idea substantially. By considering SETS of basic probability
assignments, an appealing constructive approach to general interval
probability (general imprecise probabilities) is achieved, which
allows for a very flexible modelling of uncertain knowledge.