A theory of Gaussian belief functions
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Publication:1809347
DOI10.1016/0888-613X(96)00115-6zbMath0941.68763MaRDI QIDQ1809347
Publication date: 20 December 1999
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Reasoning under uncertainty in the context of artificial intelligence (68T37) Logic in computer science (03B70) Fuzzy measure theory (28E10)
Related Items (8)
Risk, Return and International Portfolio Analysis: Entropy and Linear Belief Functions ⋮ Linear Belief Functions for Data Analytics ⋮ Evidential reasoning in large partially ordered sets. Application to multi-label classification, ensemble clustering and preference aggregation ⋮ The unnormalized Dempster's rule of combination: A new justification from the least commitment principle and some extensions ⋮ Belief functions induced by multimodal probability density functions, an application to the search and rescue problem ⋮ The reducibility of matrix sweeping operations: a computational issue in linear belief functions ⋮ Belief functions on real numbers ⋮ Imaginary numbers for combining linear equation models via Dempster's rule
Cites Work
- Propagating belief functions in qualitative Markov trees
- R. A. Fisher on the history of inverse probability. With comments by Robin L. Plackett and G. A. Barnard and a rejoinder by the author
- Upper and Lower Probabilities Induced by a Multivalued Mapping
- Bayesian analysis of a three-component hierarchical design model
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