Application of Belief Functions Theory to Non Destructive Testing of Industrial Pie

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. Keywords: Evidence theory, non-destructive testing, defects classification.