What is Dempster-Shafer's model?
Advances in the Dempster-Shafer theory of evidence
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Joint propagation of probability and possibility in risk analysis: Towards a formal framework
International Journal of Approximate Reasoning
Inference in directed evidential networks based on the transferable belief model
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Combination of partially non-distinct beliefs: The cautious-adaptive rule
International Journal of Approximate Reasoning
Independence concepts for convex sets of probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Mark-recapture techniques in statistical tests for imprecise data
International Journal of Approximate Reasoning
Modelling uncertainties in limit state functions
International Journal of Approximate Reasoning
Relevance and truthfulness in information correction and fusion
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
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We study three conditions of independence within evidence theory framework. The first condition refers to the selection of pairs of focal sets. The remaining two ones are related to the choice of a pair of elements, once a pair of focal sets has been selected. These three concepts allow us to formalize the ideas of lack of interaction among variables and among their (imprecise) observations. We illustrate the difference between both types of independence with simple examples about drawing balls from urns. We show that there are no implication relationships between both of them. We also study the relationships between the concepts of ''independence in the selection'' and ''random set independence'', showing that they cannot be simultaneously satisfied, except in some very particular cases.