Dempster-Shafer evidence theory (D-S) is an effective instrument for merging the collected pieces of basic probability assignment (BPA), and it exhibits superiority in achieving robustness soft computing decision making uncertain imprecise environment. However, determination BPA still uncertain, merely applying can sometimes lead to counterintuitive results when lines conflict. In this paper, a...

We revisit Zadeh's notion of "evidence the second kind" and show that it provides foundation for a general theory epistemic random fuzzy sets, which generalizes both Dempster-Shafer belief functions possibility theory. In this perspective, deals with generated by while induced sets. The more allows us to represent combine evidence is uncertain fuzzy. demonstrate application formalism statistica...

Lymphoma detection and segmentation from whole-body Positron Emission Tomography/Computed Tomography (PET/CT) volumes are crucial for surgical indication radiotherapy. Designing automatic methods capable of effectively exploiting the information PET CT as well resolving their uncertainty remain a challenge. In this paper, we propose an lymphoma model using UNet with evidential PET/CT fusion lay...

SUMMARY In this paper, we deal with the perceptual organization which is a crucial problem in computer vision. Perceptual organization consists in structuring the image into perceptually significant groups. These structures will be used in higher level processes such as image understanding or object recognition. The grouping is based on application of the Gestaltic perceptual phenomena. Origina...