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Conference Papers Year : 2000

Interpolative reasoning based on graduality

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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Dates and versions

hal-01072143 , version 1 (07-10-2014)

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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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