Combining Multiple-Valued Logics in Modular Expert Systems
  The way experts manage uncertainty usually changes depending on the task they
are performing. This fact has lead us to consider the problem of communicating
modules (task implementations) in a large and structured knowledge based system
when modules have different uncertainty calculi. In this paper, the analysis of
the communication problem is made assuming that (i) each uncertainty calculus
is an inference mechanism defining an entailment relation, and therefore the
communication is considered to be inference-preserving, and (ii) we restrict
ourselves to the case which the different uncertainty calculi are given by a
class of truth functional Multiple-valued Logics.
