The performance evaluation of information processing algorithms has been studied for a long time. Recent technological advances continued to increase the efficiency of these algorithms in specific application contexts. Meanwhile, the evaluation of complex information systems, for example, information fusion systems (IFS), remains a very difficult task even today. One of the main causes of this difficulty is the need to integrate and process a continuously increasing number of heterogeneous information sources. From an information consumer point of view, that is, the end user of the IFS, the information and the quality of information are of great importance. Therefore, he or she needs information accompanied by a degree of confidence, corresponding to the capacity of the IFS to deliver the right information, at the right time and in the right format. In this chapter, we propose the tracking of the information quality evolution through the system, as a possible solution to evaluate the information proposed to the end user.