Logical method for logical operations based on evidential reasoning
International Journal of Knowledge Engineering and Soft Data Paradigms
In Memoriam: Philippe Smets (1938--2005)
Fuzzy Sets and Systems
In memoriam: Philippe Smets (1938-2005)
International Journal of Approximate Reasoning
A new trust model based on advanced D-S evidence theory for P2P networks
FAST'06 Proceedings of the 4th international conference on Formal aspects in security and trust
Combination rule of D-S evidence theory based on the strategy of cross merging between evidences
Expert Systems with Applications: An International Journal
Assessing the value of a candidate: comparing belief function and possibility theories
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A target classification decision aid
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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We present two methods to provide explanations for reasoning with belief functions. 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 approach is to examine the impact of each piece of evidence on the conclusion based on the measure of the information content provided by the evidence. We show the property of additivity for each pieces of evidence that are conditional independent within the context of the valuation-based systems. We give an example to show how these approaches are applied in an evidential network