Application of Belief Functions Theory to Non Destructive Testing of Industrial Pieces
Résumé
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.