Journal article

YANUSHKEVICH Svetlana, EASTWOOD Shawn C., DRAHANSKÝ Martin and SHMERKO Vlad. P. Understanding and taxonomy of uncertainty in modeling, simulation, and risk profiling for border control automation. Journal of Defence Modeling and Simulation. Thousand Oak: SAGE Publications, 2016, vol. 2016, no. 7, pp. 1-15. ISSN 1548-5129. Available from: http://dms.sagepub.com/content/early/2016/07/28/1548512916660637.full.pdf?ijkey=R9SCdz5xzrtfIce&keytype=finite
Publication language:english
Original title:Understanding and taxonomy of uncertainty in modeling, simulation, and risk profiling for border control automation
Title (cs):Porozumění a taxonomie nejistoty v modelování, simulaci a profilování rizik pro automatizaci hraniční kontroly
Pages:1-15
Place:US
Year:2016
URL:http://dms.sagepub.com/content/early/2016/07/28/1548512916660637.full.pdf?ijkey=R9SCdz5xzrtfIce&keytype=finite
Journal:Journal of Defence Modeling and Simulation, Vol. 2016, No. 7, Thousand Oak, US
ISSN:1548-5129
Keywords
Uncertainty taxonomy, Admiralty Code, automated border control, Bayesian network, watchlist technology, Dempster-
Shafer metric
Annotation
This paper addresses the problem of trust in Modeling and Simulation (M&S) technologies, and uncertainty in applications to homeland security. The key goal of this paper is an extension of the notion of trusted M&S techniques for traveler risk assessment in mass-transit applications such as e-borders. Theories of uncertainty suggest that different understandings of uncertainty result in different mechanisms of its reduction. We show that a taxonomy of uncertainty that is accepted in philosophical studies, as well as the NATO methodology of uncertainty assessment (known as the Admiralty Code), can be useful in M&S. This paper overviews various approaches to M&S and focuses on a framework that is based on multi-source fusion mechanisms using Dempster Shafer (DS) theory. The DS metric is useful for the development of simulators, recommender machines, and risk profilers when expert knowledge is given in an imprecise form. The difference between the Bayesian and DS metrics is introduced via a demonstrative experiment from the area of traveler risk assessment using a biometric-enabled watchlist.
BibTeX:
@ARTICLE{
   author = {Svetlana Yanushkevich and C. Shawn Eastwood and Martin
	Drahansk{\'{y}} and P. Vlad. Shmerko},
   title = {Understanding and taxonomy of uncertainty in modeling,
	simulation, and risk profiling for border control automation},
   pages = {1--15},
   journal = {Journal of Defence Modeling and Simulation},
   volume = {2016},
   number = {7},
   year = {2016},
   ISSN = {1548-5129},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10975}
}

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