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handle: 10261/136955
This paper is a contribution to the study of similarity relations between objects represented as attribute-value pairs in Fuzzy Description Logics . For this purpose we use concrete domains in the fuzzy description logic IALCEF(D)IALCEF(D) associated either with a left-continuous or with a finite t-norm. We propose to expand this fuzzy description logic by adding a Similarity Box (SBox) including axioms expressing properties of fuzzy equalities. We also define a global similarity between objects from similarities between the values of each object attribute (local similarities) and we prove that the global similarity defined using a t-norm inherits the usual properties of the local similarities (reflexivity, symmetry or transitivity). We also prove a result relative to global similarities expressing that, in the context of the logic MTL∀, similar objects have similar properties, being these properties expressed by predicate formulas evaluated in these objects
similarity relation, Logic in artificial intelligence, description logics, Description logics, Similarity box, Fuzzy logic; logic of vagueness, Reasoning under uncertainty in the context of artificial intelligence, attribute-value representation, Attribute-value representation, Knowledge representation, Similarity relation, Fuzzy description logics, fuzzy description logics, similarity box
similarity relation, Logic in artificial intelligence, description logics, Description logics, Similarity box, Fuzzy logic; logic of vagueness, Reasoning under uncertainty in the context of artificial intelligence, attribute-value representation, Attribute-value representation, Knowledge representation, Similarity relation, Fuzzy description logics, fuzzy description logics, similarity box
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