The goal of the ETUR is bring together experts, researchers, and practitioners from the Fusion community to leverage the advances and developments in the area of evaluation of uncertainty representation to address the problem of evaluating uncertainty representation and reasoning approaches for High Level Information Fusion (HLIF) systems.
The group will provide a forum for its members to collectively address a common need for the ISIF community, coordinate with researchers in the area, and and evaluate techniques for assessing, managing, and reducing uncertainty. The main aspects involved are

1. to establish features required for any quantitative uncertainty representation to support the exchange of soft and hard information in a net-centric environment;
2. to develop a set of use cases involving information exchange and fusion requiring reasoning and inference under uncertainty; and
3. to define evaluation criteria supporting unbiased comparisons among different approaches applied to the use cases.