Process for estimating likelihood and confidence in post detonation nuclear forensics.
Author(s) -
John L. Darby,
Charles M. Craft
Publication year - 2014
Language(s) - English
Resource type - Reports
DOI - 10.2172/1177060
Subject(s) - process (computing) , uncertainty quantification , uncertainty analysis , computer science , mathematics , machine learning , statistics , programming language
Technical nuclear forensics (TNF) must provide answers to questions of concern to the broader community, including an estimate of uncertainty. There is significant uncertainty associated with post-detonation TNF. The uncertainty consists of a great deal of epistemic (state of knowledge) as well as aleatory (random) uncertainty, and many of the variables of interest are linguistic (words) and not numeric. We provide a process by which TNF experts can structure their process for answering questions and provide an estimate of uncertainty. The process uses belief and plausibility, fuzzy sets, and approximate reasoning.
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