Linguistic models of vagueness usually record contexts of possible precisifications. A link between such models and fuzzy logic is established by extracting fuzzy sets from context based word meanings and analyzing standard logical connectives in this setting. In a further step Lawry's voting semantics for fuzzy logics is used to re-interpret standard t-norm based truth functions from the point of view of context update semantics.