Abstract
In this contribution we present a classification method based on the evidence theory where a comparison between modeling with and without conflict is presented as well as a comparison between the orthogonal and cautious fusion rules. The classification rules are compared to the state of the art support vector machine classifier on an industrial ultrasonic dataset.
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Osman, A., Kaftandjian, V., Hassler, U. (2014). Application of Belief Functions Theory to Non Destructive Testing of Industrial Pieces. In: Cuzzolin, F. (eds) Belief Functions: Theory and Applications. BELIEF 2014. Lecture Notes in Computer Science(), vol 8764. Springer, Cham. https://doi.org/10.1007/978-3-319-11191-9_23
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DOI: https://doi.org/10.1007/978-3-319-11191-9_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11190-2
Online ISBN: 978-3-319-11191-9
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