论文信息 - The Qualitative Verification of Quantitative Uncertainty

The Qualitative Verification of Quantitative Uncertainty

We introduce a new application of qualitative models of uncertainty. The qualitative analysis of a numerical model of uncertainty reveals the qualitative behaviour of that model when new evidence is obtained. This behaviour canbe compared with an expert's specifications to identify those situations in which the model does not behave as expected. We report the result of experlments performed using a probability model, and a model based on the Dempster-Shafer theory of evidence.

Alessandro Saffiotti | Simon Parsons

[1] Simon Parsons,et al. On reasoning in networks with qualitative uncertainty , 1993, UAI.

[2] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[3] Prakash P. Shenoy,et al. Axioms for probability and belief-function proagation , 1990, UAI.

[4] Philippe Smets,et al. The Transferable Belief Model , 1994, Artif. Intell..

[5] Alessandro Saffiotti,et al. Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks , 1991, UAI.

[6] Michael P. Wellman. Fundamental Concepts of Qualitative Probabilistic Networks , 1990, Artif. Intell..

[7] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[8] Marek J. Druzdzel,et al. Belief Propagation in Qualitative Probabilistic Networks , 1993 .