On revising fuzzy belief bases
  We look at the problem of revising fuzzy belief bases, i.e., belief base
revision in which both formulas in the base as well as revision-input formulas
can come attached with varying truth-degrees. Working within a very general
framework for fuzzy logic which is able to capture a variety of types of
inference under uncertainty, such as truth-functional fuzzy logics and certain
types of probabilistic inference, we show how the idea of rational change from
'crisp' base revision, as embodied by the idea of partial meet revision, can be
faithfully extended to revising fuzzy belief bases. We present and axiomatise
an operation of partial meet fuzzy revision and illustrate how the operation
works in several important special instances of the framework.
