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A CBRN detection framework using fuzzy logic
Ahmed Nagy
Lusine Mkrtchyan
Klaas Van Der Meer
T. Comes, F.F., S. Fortier, J. Geldermann and T. Müller
Identifying a chemical, biological, radiological, and nuclear incident (CBRN) is a challenge. Evidence and health symptoms resulting from CBRN malevolent incident overlap with other normal non malevolent human activities. However, proper fusion of symptoms and evidence can aid in drawing conclusions with a certain degree of credibility about the existence of an incident. There are two types of incidents directly observable, overt, or indirectly observable, covert, which can be detected from the symptoms and consequences. This paper describes a framework for identifying a CBRN incident from available evidence using a fuzzy belief degree distributed approach. We present two approaches for evidence fusion and aggregation; the first, two level cumulative belief degree (CBD) while the second is ordered weighted aggregation of belief degrees (OWA). The evaluation approach undertaken shows the potential value of the two techniques.
urn:ISBN:9783923704804
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=A%20CBRN%20detection%20framework%20using%20fuzzy%20logic&stitle=ISCRAM%202013&issn=2411-3387&isbn=9783923704804&date=2013&spage=266&epage=271&aulast=Ahmed%20Nagy&au=Lusine%20Mkrtchyan&au=Klaas%20Van%20Der%20Meer&pub=Karlsruher%20Institut%20fur%20Technologie&place=KIT%3B%20Baden-Baden&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=804
citekey:AhmedNagy_etal2013
citation:Ahmed Nagy, Lusine Mkrtchyan, & Klaas Van Der Meer. (2013). A CBRN detection framework using fuzzy logic. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 266-271). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
2013
ConferencePaper
text
Data mining
Decision support systems
Disaster prevention
Fuzzy set theory
Information systems
Decision supports
Degree of credibility
Disaster management
Distributed approaches
Evaluation approach
Human activities
Ordered weighted aggregations
Potential values
Fuzzy logic
file:http://idl.iscram.org/files/nagy/2013/804_Nagy_etal2013.pdf
Karlsruher Institut fur Technologie
English
2411-3387
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
2013
266
271
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