Set-theoretic similarity measures

Maria Rifqi (1) , Bernadette Bouchon-Meunier (1)

1 APA - Apprentissage et Acquisition des connaissances

In this paper, we give an overview of general classes of similarity measures which presents the advantage of being inserted in a cognitive framework and being available for objects described by means of non-classical kinds of values, such as linguistic values, as well as traditional numerical attributes. We also give means to prioritize one measure over the others.

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]

Maria Rifqi, Bernadette Bouchon-Meunier. Set-theoretic similarity measures. KES'2002 - International Conference on knowledge-based information engineering systems and allied technologies, Sep 2002, Crema, Italy. pp.879-884. ⟨hal-01075352⟩