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Conference papers

Similarity-based fuzzy interpolation method

Francesc Esteva 1 Maria Rifqi 2 Bernadette Bouchon-Meunier 2 Marcin Detyniecki 3
1 IIIA - CSIC - Instituto de Investigación en Inteligencia Artificial
2 LIP6 - Laboratoire d'Informatique de Paris 6
3 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : 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.
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Submitted on : Wednesday, October 8, 2014 - 12:32:04 PM
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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⟩

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