  In this paper one studies, within Dezert-Smarandache Theory (DSmT), the case
when the sources of information provide imprecise belief functions/masses, and
we generalize the DSm rules of combination (classic or hybrid rules) from
scalar fusion to sub-unitary interval fusion and, more general, to any set of
sub-unitary interval fusion. This work generalizes previous works available in
literature which appear limited to IBS (Interval-valued belief structures) in
the Transferable Belief Model framework. Numerical didactic examples of these
new DSm fusion rules for dealing with imprecise information are also presented.
