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Different kinds of comparisons between fuzzy conceptual graphs

Abstract : In the context of a microbiological application, our study proposes to extend the Conceptual Graph Model in order to allow one: (i) to represent imprecise data and queries that include preferences, by using fuzzy sets (from fuzzy set theory) in concept vertices, in order to describe either an imprecise concept type or an imprecise referent; (ii) to query a conceptual graph that may include imprecise data (factual graph) using a conceptual graph that may include preferences (query graph). This is performed in two steps: firstly by extending the projection operation to fuzzy concepts, secondly by defining a comparison operation characterised by two matching degrees: the possibility degree of matching and the necessity degree of matching between two graphs, and particularly between a query graph and a factual graph.
Mots-clés : BASE DE CONNAISSANCE
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Article dans une revue
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https://hal.inrae.fr/hal-02676616
Déposant : Migration Prodinra <>
Soumis le : dimanche 31 mai 2020 - 18:32:52
Dernière modification le : mercredi 14 octobre 2020 - 04:08:29

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Rallou Thomopoulos, Patrice Buche, Olivier Haemmerlé. Different kinds of comparisons between fuzzy conceptual graphs. Lecture Notes in Computer Science, Springer, 2003, 2746, pp.54-68. ⟨10.1007/978-3-540-45091-7_4⟩. ⟨hal-02676616⟩

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