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Interpolative reasoning based on graduality

Bernadette Bouchon-Meunier 1 Maria Rifqi 1 Christophe Marsala 1
1 APA - Apprentissage et Acquisition des connaissances
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : We propose a new method to use an incomplete rule base with imprecise descriptions of variables. We extend classical interpolative reasoning to this case, under the assumption of graduality in variations of the variables, by using an analogical fuzzy approach.
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https://hal.inria.fr/hal-01072143
Contributor : Maria Rifqi <>
Submitted on : Tuesday, October 7, 2014 - 3:42:44 PM
Last modification on : Monday, February 22, 2021 - 4:34:01 PM

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Bernadette Bouchon-Meunier, Maria Rifqi, Christophe Marsala. Interpolative reasoning based on graduality. Fuzz-IEEE 2000 - 9th IEEE International Conference on Fuzzy Systems, May 2000, San Antonio, United States. pp.483-487, ⟨10.1109/FUZZY.2000.838707⟩. ⟨hal-01072143⟩

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