Generalized Aggregate Uncertainty Measure 2 For Uncertainty Evaluation of A Dezert-Smarandache Theory Based Localization Problem

In this paper, generalized aggregated uncertainty measure 2 (gau2), as a new uncertainty 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 combine cameras’ images is dezert-smarandache theory. to evaluate decisions, an analysis of uncertainty is executed at every level of the decision-making system. the second generalization of aggregated uncertainty measure (gau2) which is applicable for dsmt results is used as a supervisor. the gau2 measure in spite of the gau1 measure can be applied to the problems with vague borders or continuous events. this measure may help to make decisions based on better preference combinations of sensors or methods of fusion. gau2 is used to evaluate uncertainty after applying classic dsmt and hybrid dsmt with extra knowledge. therefore by using the decision making system, results with less uncertainty are generated in spite of high conflict sensory data.