The ability to understand truly natural language expressions which involve fuzzy concepts and quantifiers (like many, few, most, etc.) presents many problems, some of which are worth mentioning: cardinality of a fuzzy set, extensions of the classical syllogisms to fuzzy syllogisms, dispositions, etc. Apart from these problems, which have been discussed in the literature, the main difficulty in evaluating such expressions is the strong interaction between the definition of the fuzzy concept and the domain knowledge. In this paper we will try to make such a claim apparent and describe some initial solutions, which provide an intelligent system with the capability of representing and understanding fuzzy concepts and quantifiers by taking into account domain knowledge.

Prototypical Knowledge for Interpreting Fuzzy Concepts and Quantifiers

LESMO, Leonardo;TORASSO, Pietro
1987

Abstract

The ability to understand truly natural language expressions which involve fuzzy concepts and quantifiers (like many, few, most, etc.) presents many problems, some of which are worth mentioning: cardinality of a fuzzy set, extensions of the classical syllogisms to fuzzy syllogisms, dispositions, etc. Apart from these problems, which have been discussed in the literature, the main difficulty in evaluating such expressions is the strong interaction between the definition of the fuzzy concept and the domain knowledge. In this paper we will try to make such a claim apparent and describe some initial solutions, which provide an intelligent system with the capability of representing and understanding fuzzy concepts and quantifiers by taking into account domain knowledge.
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http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V05-48MYJ97-84&_user=525216&_coverDate=09%2F30%2F1987&_alid=789415314&_rdoc=2&_fmt=high&_orig=search&_cdi=5637&_sort=d&_docanchor=&view=c&_ct=3&_acct=C000026382&_version=1&_urlVersion=0&_userid=525216&md5=1da5cd70d6370c49b85b77866b5b1737
Linguistic variables; Fuzzy quantifiers; approximate reasoning; Prototypical knowledge; Natural language
L. LESMO; P. TORASSO
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/10461
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