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Rules are focal elements in the framework of the Dempster Shafer theory.
Random set theory is a generalization of Dempster-Shafer evidence theory, that employs an infinite number of focal elements.
The new metric, specifically designed to quantify conflict on orderable sets, uses a Hausdorff-based measure to account for the distance between focal elements.
This results in a distance metric that can accurately measure conflict between belief assignments without saturating simply because two assignments do not have common focal elements.
Treatment options include oral medications, botulinum toxin injections for focal elements of dystonia, and increasingly neurosurgical interventions (namely Intrathecal baclofen and Deep Brain stimulation), highlighting the importance of a rational approach to pharmacological management.
An unsolved problem in the interval-valued belief structure is the existence of maximal confidence intervals, referring to the credible and maximal interval-valued beliefs assigned to focal elements, in which every point can be reached by a combination rule.
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Based on the MPP, the most critical focal element which has the maximum contribution to failure can be identified.
The notion of support degree of focal element is suggested in order to evaluate the conflicts between multi sensors.
First, the most probable focal element (MPFE), an important concept as the most probable point (MPP) in probability-theory-based reliability analysis, is searched using a uniformity approach.
The new combination rule is then built to allocate the conflicted information from multi sensors based on the support degree of focal element.
Then using an approximate model created based on this focal element, the reliability interval can be efficiently computed for the original epistemic uncertainty problem.
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