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Conditioning and Dilation with Coherent Nearly-Linear Models

In previous work [1] we introduced Nearly-Linear (NL) models, a class of neighbourhood models obtaining upper/lower probabilities by means of a linear affine transformation (with barriers) of a given probability. NL models are partitioned into more subfamilies, some of which are coherent. One, that...

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Veröffentlicht in:Information Processing and Management of Uncertainty in Knowledge-Based Systems
Hauptverfasser: Pelessoni, Renato, Vicig, Paolo
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2020
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7274795/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50143-3_11
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