A method for managing evidential reasoning in a hierarchical hypothesis space
A method for managing evidential reasoning in a hierarchical hypothesis space
Calculating Dempster-Shafer Plausibility
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Sequential Accumulation of Evidence
International Journal of Computer Vision - Special issue: Research at McGill University
Combination calculi for uncertainty reasoning: representing uncertainty using distributions
Annals of Mathematics and Artificial Intelligence
Representation of Qualitative User Preference by Quantitative Belief Functions
IEEE Transactions on Knowledge and Data Engineering
Combining bodies of dependent information
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
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The authors provide a perspective and interpretation regarding the Dempster-Shafer theory of evidence that regards the combination formulas as statistics of the opinions of experts. This is done by introducing spaces with binary operations that are simpler to interpret or simpler to implement than the standard combination formula, and showing that these spaces can be mapped homomorphically onto the Dempster-Shafer theory-of-evidence space. The experts in the space of opinions-of-experts combine information in a Bayesian fashion. Alternative spaces for the combination of evidence suggested by this viewpoint are presented.