DocumentCode
2641882
Title
Soft computing for intelligence analysis and security decisions: multi-source fusion
Author
Yager, Ronald R.
Author_Institution
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
fYear
2005
fDate
26-28 June 2005
Firstpage
228
Lastpage
232
Abstract
Considerable concern has arisen regarding the information used in intelligence analysis. One problem that made this analysis difficult was the uncertainty in much of the information available to the intelligence analysts. In this work we consider the problem of multisource data. We make considerable use of technologies based on fuzzy sets and related disciplines such as approximate reasoning.
Keywords
data analysis; fuzzy set theory; security; sensor fusion; uncertainty handling; approximate reasoning; fuzzy set; information fusion; intelligence analysis; multisource data fusion; security decision; soft computing; Data security; Decision making; Educational institutions; Fuzzy sets; Information analysis; Information security; Machine intelligence; US Government; Uncertainty; Weapons; fuzzy sets; information fusion; intelligence analysis; security;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN
0-7803-9187-X
Type
conf
DOI
10.1109/NAFIPS.2005.1548538
Filename
1548538
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