This chapter introduces reasoning procedures for {\qfdl}, a fuzzy description logic with extended qualified quantification \cite (SanchezTettamanzi2004}. The language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on $\mathbb{N}$ and $\mathbb{Q}\cap[0,1]$ respectively. In order to reason about instances, the semantics of quantified expressions is defined by using method $GD$ \cite{DSV2000:ijar}, which is based on recently developed measures of the cardinality of fuzzy set. The main contribution of this chapter is a procedure to calculate the fuzzy satisfiability of a fuzzy concept, which is a very important reasoning task. The procedure considers several different cases and provides direct solutions for the most frequent types of fuzzy concepts. In order to distinguish between these cases, a novel idea of concept independence is also introduced.
Fuzzy quantification in fuzzy description logics / Daniel Sánchez, Andrea G. B. Tettamanzi - In: Fuzzy logic and the semantic Web / [a cura di] Elie Sanchez. - Amsterdam : Elsevier, 2006. - ISBN 0444519483. - pp. 135-159 [10.1016/S1574-9576(06)80010-9]
Fuzzy quantification in fuzzy description logics
A.G.B. Tettamanzi
2006
Abstract
This chapter introduces reasoning procedures for {\qfdl}, a fuzzy description logic with extended qualified quantification \cite (SanchezTettamanzi2004}. The language allows for the definition of fuzzy quantifiers of the absolute and relative kind by means of piecewise linear functions on $\mathbb{N}$ and $\mathbb{Q}\cap[0,1]$ respectively. In order to reason about instances, the semantics of quantified expressions is defined by using method $GD$ \cite{DSV2000:ijar}, which is based on recently developed measures of the cardinality of fuzzy set. The main contribution of this chapter is a procedure to calculate the fuzzy satisfiability of a fuzzy concept, which is a very important reasoning task. The procedure considers several different cases and provides direct solutions for the most frequent types of fuzzy concepts. In order to distinguish between these cases, a novel idea of concept independence is also introduced.Pubblicazioni consigliate
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