DocumentCode
1825970
Title
Simulation fusion
Author
Wai Kin Chan ; Nelson, B.L. ; Schruben, L.W. ; Jacobson, S.H.
Author_Institution
Dept. of Decision Sci. & Eng. Syst., Rensselaer Polytech. Inst., Troy, NY, USA
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
686
Lastpage
695
Abstract
The concept of data fusion (DF) has had a major impact on statistical methodology and practice within the US Department of Defense. In this paper we explore expanding this idea to include simulation modeling and analysis. Simulation fusion (SF) is the concept of combining data, models, experiments, and analyses to improve the outcome of simulation studies. In this paper, we propose an initial framework and discuss various SF schemes. We provide several examples to illustrate these ideas and discuss some of the potential benefits of simulation fusion.
Keywords
data handling; sensor fusion; statistical analysis; DF; SF schemes; US Department of Defense; data fusion; simulation fusion; statistical methodology; Analytical models; Animation; Computational modeling; Computer simulation; Defense industry; Guidelines; Jacobian matrices; Medical simulation; Robustness; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location
Austin, TX, USA
Print_ISBN
978-1-4244-5770-0
Type
conf
DOI
10.1109/WSC.2009.5429682
Filename
5429682
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