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.
Calegari, S., Radaelli, P., Ciucci, D. (2008). Two fuzzy-set models for the semantic of linguistic negations. In R. Bello, R. Falcon, W. Pedrycz, J. Kacprzyk (a cura di), Granular computing: at the junction of rough sets and fuzzy sets (pp. 105-120). Springer [10.1007/978-3-540-76973-6_7].
Two fuzzy-set models for the semantic of linguistic negations
CALEGARI, SILVIA;CIUCCI, DAVIDE ELIO
2008
Abstract
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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