Publication

This publication examines the fusion of uncertain, imprecise and paradoxist sensor information. The first part is oriented to some theoretical advances of the Theory of Plausible and Paradoxical Reasoning. It offers an introduction to the fusion of quantitative and qualitative beliefs, a generalization of the classic combination rules to DSm hyper-power sets, and a new class of fusion rules based on T-Conorm and T-Norm fuzzy operators. The second part presents some applications of DSm theory, including ordered DSmT and its application to the definition of continuous DSm models, robot map building from sonar sensors and DSmT and human expert fusion for image classification.