Can someone that knows about fuzzy models explain how are these intrinsically different from a Bayesian view of the world in which states can be uncertain? Although with diferent names, all the concepts involved in a Bayesian model seem to be present in them, there's data, there's prior knowledge in the form of fuzzy variables, and there's a posterior. Maybe I am just mixing apples and oranges, but if someone can make a clear distinction between these, I'd be grateful.