Conceptual Classiication from Imprecise Data
نویسنده
چکیده
In this paper, we propose a model to represent not completely deened data. These data are structured in rooted trees that take into account unknown and impossible values. We make a Galois connexion between entities described with imprecise data and their associated predicates. We propose an algorithm to nd concepts deened by a Galois connexion.
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