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Two fuzzy-set models for the semantics of linguistic negations. (English) Zbl 1145.68551
Bello, Rafael (ed.) et al., Granular computing: At the junction of rough sets and fuzzy sets. Several papers based on the presentations at the 1st international symposium of fuzzy and rough sets (ISFUROS 2006), Santa Clara, Cuba, December 5–8, 2006. Berlin: Springer (ISBN 978-3-540-76972-9/hbk). Studies in Fuzziness and Soft Computing 224, 105-120 (2008).
Summary: 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.
For the entire collection see [Zbl 1132.68003].
68T50 Natural language processing