An aggregation framework based on coherent lower previsions: application to Zadeh's paradox and sensor networks

DOI10.1016/j.ijar.2010.08.010zbMath1348.68243OpenAlexW2044776391WikidataQ57673220 ScholiaQ57673220MaRDI QIDQ622262

Alessio Benavoli, Alessandro Antonucci

Publication date: 31 January 2011

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2010.08.010

zbMATH Keywords

information fusionaggregation rulecoherent lower previsionsgeneralized Bayes ruleindependent natural extensionlinear-vacuous mixtures

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

A geometric and game-theoretic study of the conjunction of possibility measures ⋮ Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification

Cites Work

• Epistemic irrelevance in credal nets: the case of imprecise Markov trees
• Limits of learning about a categorical latent variable under prior near-ignorance
• Updating coherent previsions on finite spaces
• Default reasoning and possibility theory
• Fuzzy sets as a basis for a theory of possibility
• The naive credal classifier
• Measures of uncertainty in expert systems
• A survey of the theory of coherent lower previsions
• Conservative Inference Rule for Uncertain Reasoning under Incompleteness
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