  In this paper we deal with a new approach to probabilistic reasoning in a
logical framework. Nearly almost all logics of probability that have been
proposed in the literature are based on classical two-valued logic. After
making clear the differences between fuzzy logic and probability theory, here
we propose a {em fuzzy} logic of probability for which completeness results (in
a probabilistic sense) are provided. The main idea behind this approach is that
probability values of crisp propositions can be understood as truth-values of
some suitable fuzzy propositions associated to the crisp ones. Moreover,
suggestions and examples of how to extend the formalism to cope with
conditional probabilities and with other uncertainty formalisms are also
provided.
