DocumentCode
2004280
Title
Request management using contextual information for classification
Author
Contat, Marc ; Nimier, Vincent ; Reynaud, Roger
Author_Institution
DTIM, ONERA, Chatillon, France
Volume
2
fYear
2002
fDate
8-11 July 2002
Firstpage
1147
Abstract
In a multitarget and multisensor environment a faithful and precise operational situation is needed as much as a fast data acquisition and processing in order to make reliable and reactive decisions. From this perspective, we introduced in our last paper the separation degree, which is a measure of discrimination between two fuzzy sets. It is used as a criterion to obtain an order among the target´s attributes or among the sensor´s modes. Thus it helps the choice of the attribute that is the most characteristic for the targeted object, by selecting the most discriminating fuzzy sets, which would give the less ambiguous result. From this perspective we propose a method to select the sensor´s mode, which takes contextual information about the targeted object and sensor´s cost into account.
Keywords
fuzzy set theory; resource allocation; sensor fusion; signal classification; classification; contextual information; discrimination measure; fuzzy sets; multitarget multisensor environment; request management; separation degree; Control systems; Costs; Data acquisition; Data processing; Databases; Fuzzy logic; Information management; Resource management; Sensor phenomena and characterization; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location
Annapolis, MD, USA
Print_ISBN
0-9721844-1-4
Type
conf
DOI
10.1109/ICIF.2002.1020942
Filename
1020942
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