Original paper
Robust propagation of probability boxes by interval predictor models
Abstract
This paper proposes numerical strategies to robustly and efficiently propagate probability boxes through expensive black box models. An interval is obtained for the system failure probability, with a confidence level. The three proposed algorithms are sampling based, and so can be easily parallelised, and make no assumptions about the functional form of the model. In the first two algorithms, the performance function is modelled as a function...
Paper Details
Title
Robust propagation of probability boxes by interval predictor models
Published Date
Jan 1, 2020
Journal
Volume
82
Pages
101889 - 101889
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Notes
History