Adaptive fuzzy logics for contextual hedge interpretation (Q735409)

In this paper, several logics that take into account the possibility of implicit hedging are presented. These logics are called adaptive fuzzy hedge logics and perform a specific kind of hedge detection. Given a premise set \(\Gamma\) representing a series of communicated statements, these logics can check whether some predicates from \(\Gamma\) may be interpreted as being (implicitly) hedged by technically, strictly speaking, loosely speaking or simply non-hedged; they take into account the logical constraints of the premise set and conceptual information concerning the meaning of potentially hedged predicates. A fuzzy semantics (proposed by Lakoff) for the hedges technically, strictly speaking and loosely speaking is modified and integrated in the fuzzy hedge logic \(G_h\). This logic is obtained from the fuzzy logic \(G\) according to the approach presented in Section 3. The actual adaptive fuzzy hedge logics presented in Section 5 constitute the main part of the paper: various logics (such as \(G^r_{h-}\), \( G^m_{h-}\), \( G^r_{ht}\)) are characterized and illustrated.