Two Fuzzy-Set Models for the Semantics of Linguistic Negations

Two methods based on fuzzy sets are proposed in order to handle the understanding of linguistic negations. Both solutions assign an interpretation of the negated nuances of the natural language (i.e. the humans use adverbs and adjectives to make their requests) depending on the context. The first approach is a modification of Pacholczyk’s model able to handle a non-predetermined chain of hedges. The second one is a new framework based on the idea to give two different semantics for the “not” particle, depending on whether it is used to change the meaning of a linguistic modifier or to alter a fuzzy set.

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