Request management using contextual information for classification

M. Contat, V. Nimier, R. Reynaud
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引用次数: 3

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.
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在多目标和多传感器环境中,为了做出可靠和反应性的决策,既需要快速的数据采集和处理,也需要忠实和精确的操作情况。从这个角度出发,我们在上一篇文章中引入了分离度,它是两个模糊集之间区分的度量。它被用作获得目标属性之间的顺序或传感器模式之间的顺序的准则。因此,通过选择最具判别性的模糊集来帮助目标对象选择最具特征的属性,从而得到模糊度较小的结果。从这个角度出发,我们提出了一种考虑目标物体上下文信息和传感器成本的传感器模式选择方法。
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