Article | REF: R7226 V1

Merging data

Author: Anne-Marie DESODT-LEBRUN

Publication date: December 10, 1996

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2. Merging methods

Two notions are important: it is sometimes difficult to associate a type of method with a type of application, and more often than not we observe a phenomenon of hybridization corresponding to a mix of methods that allow imprecision and uncertainty to be taken into account in algorithms that do not take them into account a priori; the most characteristic example of this is the fuzzy Kalman filter. This section is a kind of toolbox in which, depending on the phase of the fusion process, one or other method will be used depending on the context and the type of data manipulated

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Merging methods