Explaining evidential analyses
International Journal of Approximate Reasoning
Valuation-based systems: a framework for managing uncertainty in expert systems
Fuzzy logic for the management of uncertainty
The nature of the unnormalized beliefs encountered in the transferable belief model
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Artificial Intelligence
Computing marginals for arbitrary subsets from marginal representation in Markov trees
Artificial Intelligence
Corporate evidential decision making in performance prediction domains
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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In this paper, we present two methods to provide explanations for reasoning with belief functions in the valuation-based systems. One approach, inspired by Strat's method, is based on sensitivity analysis, but its computation is simpler thus easier to implement than Strat's. The other one is to examine the impact of evidence on the conclusion based on the measure of the information content in the evidence. We show the property of additivity for the pieces of evidence that are conditional independent within the context of the valuation-based systems. We will give an example to show how these approaches are applied in an evidential network.