New divergence measure revolutionizes information fusion accuracy.
The article introduces a new way to measure differences in beliefs using a modified version of the classic (\chi ^2) divergence. This method is more effective at comparing beliefs than existing methods. The new divergence is shown to be limited, balanced, and symmetrical. The researchers provide examples to demonstrate how well this new method works.