Linguistic Hedges: a Quantifier Based Approach
نویسنده
چکیده
We present an entirely new approach for the representation of intensifying and weakening linguistic hedges in fuzzy set theory, which is primarily based on a crisp ordering relation associated with the term that is modified, as well as on a fuzzy quantifier. With this technique we can generate membership functions for both atomic and modified linguistic terms. We prove that our model respects semantic entailment and we show that it surpasses traditional approaches, such as powering and shifting modifiers, on the intuitive level and on the level of applicability.
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