Uncertain evidence and artificial analysis

DOI10.1016/0378-3758(88)90097-3zbMath0655.62110OpenAlexW43965858MaRDI QIDQ1109473

Augustine Kong, Arthur P. Dempster

Publication date: 1988

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(88)90097-3

zbMATH Keywords

reliabilityexpert systembelief function measure of uncertaintynetwork based knowledge structuretree of cliques

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of statistics (62P99) Survival analysis and censored data (62N99) Circuits, networks (94C99) Artificial intelligence (68T99)

Related Items (7)

Local computations in Dempster-Shafer theory of evidence ⋮ Information and probabilistic reasoning ⋮ A mathematical theory of evidence turns 40 ⋮ Resource bounded and anytime approximation of belief function computations. ⋮ Statistical consistency with Dempster's rule on diagnostic trees having uncertain performance parameters ⋮ Binary join trees for computing marginals in the Shenoy-Shafer architecture ⋮ Perspectives on the theory and practice of belief functions

Cites Work

• Fusion, propagation, and structuring in belief networks
• Probability judgment in artificial intelligence and expert systems. With discussion
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• New Methods for Reasoning Towards Posterior Distributions Based on Sample Data
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