Publication Type:
Book Chapter
Source:
Understanding Vagueness - Logical, Philosophical, and Linguistic Perspectives, College Publications, Number 36, London, p.367 - 401 (2011)
ISBN:
978-1-84890-037-0
Abstract:
Our aim, in this overview paper, is to give a comprehensive logical
treatment of several generalizations of main classes of measures of uncertainty over fuzzy events. In particular, we will show how it is possible
to represent and logically formalize reasoning about classes of measures such as probabilities, plausibility,
possibilities and necessities over several classes of many-valued events. Fuzzy logics provide a powerful framework to handle and combine fuzziness and uncertainty. Indeed, in such logics the operations associated to the evaluation of the connectives are functions defined over the real unit interval [0, 1], that correspond, directly or up to some combinations, to operations used to compute degrees of uncertainty.
Then, such algebraic operations can be embedded in the connectives of the many-valued logical framework, resulting in clear and elegant formalizations.