Understanding and taxonomy of uncertainty in modeling, simulation, and risk profiling for border control automation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121572" target="_blank" >RIV/00216305:26230/16:PU121572 - isvavai.cz</a>
Result on the web
<a href="http://dms.sagepub.com/content/early/2016/07/28/1548512916660637.full.pdf?ijkey=R9SCdz5xzrtfIce&keytype=finite" target="_blank" >http://dms.sagepub.com/content/early/2016/07/28/1548512916660637.full.pdf?ijkey=R9SCdz5xzrtfIce&keytype=finite</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/1548512916660637" target="_blank" >10.1177/1548512916660637</a>

Result language
angličtina
Original language name
Understanding and taxonomy of uncertainty in modeling, simulation, and risk profiling for border control automation
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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