Interval Structure: A Framework for Representing Uncertain Information
  In this paper, a unified framework for representing uncertain information
based on the notion of an interval structure is proposed. It is shown that the
lower and upper approximations of the rough-set model, the lower and upper
bounds of incidence calculus, and the belief and plausibility functions all
obey the axioms of an interval structure. An interval structure can be used to
synthesize the decision rules provided by the experts. An efficient algorithm
to find the desirable set of rules is developed from a set of sound and
complete inference axioms.
