In this paper, Generalized Aggregated Uncertainty measure 2 (GAU2), as a newuncertainty measure, is considered to evaluate uncertainty in a localization problem in which cameras’images are used. The theory that is applied to a hierarchical structure for a decision making to combinecameras’ images is Dezert-Smarandache theory. To evaluate decisions, an analysis of uncertainty isexecuted at every...

By combining information theory, statistical decision theory, and maximum entropy to address the decision fusion problems, a statistical decision fusion theory is obtained. The theory explains why decision fusion is so difficult and why the performance of decision fusion systems does not always meet expectations. The theory suggests how statistical decision systems such as the conceptual "Famil...

threat assessment in the computer networks of organizations can reduce damage caused by attacks and unexpected events. data fusion models such as the jdl model provide efficient and adequate sensors to gather the right information at the right time from the right components. this information then is refined and normalized to provide situational awareness and assess events that may be intended a...

In order to develop a formal framework for data fusion field main data fusion models are observed and a logical model of data fusion is suggested. It is shown that considered data fusion models are representable in the logical model. The logical model being insufficiently general to compare different methods of data fusion is reformulated on category theory language. After that a number of info...