  The reasoning with qualitative uncertainty measures involves comparative
statements about events in terms of their likeliness without necessarily
assigning an exact numerical value to these events. The paper is divided into
two parts. In the first part, we formalise reasoning with the qualitative
counterparts of capacities, belief functions, and probabilities, within the
framework of two-layered logics. Namely, we provide two-layered logics built
over the classical propositional logic using a unary belief modality $\Be$ that
connects the inner layer to the outer one where the reasoning is formalised by
means of G\"{o}del logic. We design their Hilbert-style axiomatisations and
prove their completeness. In the second part, we discuss the paraconsistent
generalisations of the logics for qualitative uncertainty that take into
account the case of the available information being contradictory or
inconclusive.
