ISIJ 20: Fusing Uncertain, Imprecise and Paradoxist Information (DSmT)

This volume examines the fusion of uncertain, imprecise and paradoxist sensor information. It presents advances in the theory of plausible and paradoxical reasoning, offering 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. Then it introduces applications of DSm theory, including definition of continuous DSm models, robot map building from sonar sensors, and human expert fusion for image classification.