Similarity-based fuzzy interpolation method

Francesc Esteva (1) , Maria Rifqi (2) , Bernadette Bouchon-Meunier (2) , Marcin Detyniecki (2)

1 IIIA - CSIC - Instituto de Investigación en Inteligencia Artificial
2 MALIRE - Machine Learning and Information Retrieval

In this paper, a new fuzzy interpolation method based on a similarity measure derived from the preservation of the generalization to fuzzy sets of conditional consistency and implication measures in the sense of Ruspini is defi ned.

Domaines: Intelligence artificielle [cs.AI]

Francesc Esteva, Maria Rifqi, Bernadette Bouchon-Meunier, Marcin Detyniecki. Similarity-based fuzzy interpolation method. International conference on Information Processing and Management of Uncertainty in knowledge-based systems, IPMU 2004, Jul 2004, Perugia, Italy. pp.1443-1449. ⟨hal-01072531⟩