In this article we develop a method for conflict management within Dempster–Shafer theory. The idea is that each piece of evidence is discounted in proportion to the degree that it contributes to the conflict. This way the contributors of conflict are managed on a case-by-case basis in relation to the problem they cause. Discounting is performed in a sequence of incremental steps, with conflict...

Modern multitarget-multisensor tracking systems involve the development of reliable methods for the data association and the fusion of multiple sensor information, and more specifically the partioning of observations into tracks. This paper discusses and compares the application of Dempster-Shafer Theory (DST) and the Dezert-Smarandache Theory (DSmT) methods to the fusion of multiple sensor att...

Dempster-Shafer Theory is specially advantaged in information fusion, while Support Vector Machine (SVM) can well deal with high-dimensional limited sample data. This Article firstly forecasts the data samples by categories with multiple SVMs, and hence based thereon, fuses the resulting information from multiple SVM models by using DS theory. At the end, Anderson's Iris data set is used to sim...

This work is devoted to analyzing the syntax contents of an animation. In the paper we present the ANIMATION system – a system for animation scene and contents creation, retrieval and display. The object recognition mechanism in the ANIMATION system includes three steps: (1) Low level animation images analysis element recognition based on the Attribute Relational Graphs (ARG); (2) Object recogn...

This paper analyzes the theoretical under­ pinnings of recent proposals for computing Dempster-Shafer Belief functions from ATMS labels. Such proposals are intended to be a means of integrating symbolic and numeric rep­ resentation methods and of focusing search in the ATMS. This synthesis is formalized us­ ing graph theory, thus showing the relation­ ship between graph theory, the logic-theore...

The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification because of the complimentary properties of each data source. However, the challenges are: how to fully exploit the capabilities of these multiple data sources, which combined datasets should be us...

As is well known, Dempster-Shafer theory offers an alternative approach to deal with uncertainty reasoning in expert systems and other fields. In this paper, we present two results that relate to the use of the theory. First, we present and analyze four methods to induce uncerioin rules fvlm a training instance set for Dempster-Shafer theory. This is the first attempt to do so, to the best of o...