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PARETO-EFFICIENT PROBABILISTIC SOLUTIONS

机译:帕累托有效概率解

摘要

A method comprising using at least one hardware processor for receiving sensory data from at least one physical or virtual sensor. The hardware processor(s) are used for computing a plurality of decision options for configuration of the at least one physical or virtual sensor. The hardware processor(s) are used for computing a plurality of utility functions, and for each utility function: (a) computing a utility value for each decision option, and (b) identifying a first subset of decision options that substantially maximize the computed utility values. The hardware processor(s) are used for selecting at least one cross-function decision option from of the first subsets, wherein the at least one cross-function decision option is included in a substantially maximum number of the first subsets. The hardware processor(s) are used for applying at least one of the at least one cross-function decision options, to at least one physical or virtual sensor.
机译:一种方法,包括使用至少一个硬件处理器来从至少一个物理或虚拟传感器接收感觉数据。硬件处理器用于计算用于配置至少一个物理或虚拟传感器的多个决策选项。硬件处理器用于计算多个效用函数,并且对于每个效用函数:(a)计算每个决策选项的效用值,以及(b)识别基本上最大化所计算的决策选项的第一子集。实用价值。硬件处理器用于从第一子集中选择至少一个跨功能决策选项,其中,至少一个跨功能决策选项包括在基本上最大数量的第一子集中。硬件处理器用于将至少一个跨功能决策选项中的至少一个应用于至少一个物理或虚拟传感器。

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