Learning first order fuzzy logic rules

Henri Prade (1) , Gilles Richard (1) , Mathieu Serrurier (1)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage

The paper presents an algorithm based on Inductive Logic Programming for inducing first order Horn clauses involving fuzzy predicates from a database. For this, a probabilistic processing of fuzzy function is used, in agreement with the handling of probabilities in first order logic. This technique is illustrated on an experimental application. The interest of learning fuzzy first order logic expressions is emphasized.

Mots clés: Inductive Logic Programming; fuzzy rule; data mining; uncertainty

Domaines: Intelligence artificielle [cs.AI]

Henri Prade, Gilles Richard, Mathieu Serrurier. Learning first order fuzzy logic rules. 10th International Fuzzy Systems Association World Congress (IFSA 2003), Jun 2003, Istanbul, Turkey. pp.702--709, ⟨10.1007/3-540-44967-1_84⟩. ⟨hal-03373369⟩