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A principled approach to fuzzy rule base interpolation using similarity relations

Bernadette Bouchon-Meunier 1 Francesc Esteva 2 Lluis Godo 3 Maria Rifqi 1 Sandra Sandri 3
1 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
2 IIIA - CSIC - Instituto de Investigación en Inteligencia Artificial
3 IIIA / CSIC - Artificial Intelligence Research Institute / Spanish Scientific Research Council
Abstract : In this work we consider a very general principle for fuzzy rule interpolation methods based on an interpretation of the generalized modus ponens rule in terms of closeness relations. Then we present two particular instances of the general principle when the closeness relations are defined from parametric families of similarity fuzzy relations on the input and output spaces. The case of multiple input variables is also considered.
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https://hal.inria.fr/hal-01072103
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  • HAL Id : hal-01072103, version 1

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Bernadette Bouchon-Meunier, Francesc Esteva, Lluis Godo, Maria Rifqi, Sandra Sandri. A principled approach to fuzzy rule base interpolation using similarity relations. EUSFLAT--LFA 2005, Sep 2005, Barcelona, Spain. pp.757--763. ⟨hal-01072103⟩

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