Canonical decomposition of belief functions based on Teugels' representation of the multivariate Bernoulli distribution

DOI10.1016/j.ins.2017.10.030zbMath1436.68354OpenAlexW2766731185MaRDI QIDQ781291

Publication date: 16 July 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2017.10.030

zbMATH Keywords

Dempster-Shafer theory mutual information canonical decomposition belief function random set multivariate Bernoulli distribution

Mathematics Subject Classification ID

Probability distributions: general theory (60E05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (3)

Prejudice in uncertain information merging: pushing the fusion paradigm of evidence theory further ⋮ Matrix operations in random permutation set ⋮ Prejudiced Information Fusion Using Belief Functions

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