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    • 5. 发明申请
    • SYSTEM AND METHOD FOR ARBITRATING OUTPUTS FROM A PLURALITY OF THREAT ANALYSIS SYSTEMS
    • 从多个威胁分析系统中产生输出的系统和方法
    • US20090055344A1
    • 2009-02-26
    • US12129393
    • 2008-05-29
    • Peter DuganRosemary D. Paradis
    • Peter DuganRosemary D. Paradis
    • G06N7/02
    • G01N23/06G06K9/6263
    • A method of arbitrating outputs from a set of threat analysis algorithms or systems. The method can include receiving threat outputs from different threat analysis algorithms. Each threat output can be assigned to a class membership. Rules can be applied based on the threat outputs and the respective class membership. Each rule can provide an amount of support mass to a hypothesis and an amount of uncertainty mass. The rules can have an associated priority value for weighting the masses. A combined belief value for each hypothesis and a total uncertainty value can be determined based on the provided masses. The method can further include generating a decision matrix of the hypotheses and combined belief values. A hypothesis can be selected from the decision matrix based on the combined belief value.
    • 从一组威胁分析算法或系统仲裁输出的方法。 该方法可以包括接收来自不同威胁分析算法的威胁输出。 每个威胁输出都可以分配给一个类成员资格。 规则可以基于威胁输出和相应的类成员进行应用。 每个规则可以为假设提供一定数量的支持质量和一定量的不确定性质量。 规则可以具有用于对质量加权的相关联的优先级值。 可以基于提供的质量来确定每个假设和总不确定性值的组合置信度值。 该方法还可以包括生成假设和组合置信值的决策矩阵。 可以根据组合的置信值从决策矩阵中选择一个假设。
    • 6. 发明授权
    • Cognitive arbitration system
    • 认知仲裁制度
    • US07340443B2
    • 2008-03-04
    • US10846407
    • 2004-05-14
    • Peter DuganLori K. LewisRosemary D. ParadisDennis A. Tillotson
    • Peter DuganLori K. LewisRosemary D. ParadisDennis A. Tillotson
    • G06N7/02G06N5/04G06F15/18
    • G06K9/6292G06N7/02
    • A method and computer product is disclosed for arbitrating the outputs of a plurality of recognizers to select a hypothesis associated with a given input from a plurality of hypotheses. Fuzzy membership states are assigned to respective candidate outputs of the plurality of recognizers. At least one rule is selected according to the assigned fuzzy membership states. A selected rule provides a determined amount of support mass for an associated one of the plurality of hypotheses and a determined amount of uncertainty mass. A support value for each hypothesis and an overall uncertainty are determined from the provided mass values. A hypothesis having a highest support value while having an acceptable low level of uncertainty is selected.
    • 公开了一种用于仲裁多个识别器的输出以从多个假设中选择与给定输入相关联的假设的方法和计算机产品。 模糊隶属度状态被分配给多个识别器的相应候选输出。 根据分配的模糊隶属状态选择至少一个规则。 所选择的规则为所述多个假设中的相关联的假设提供确定量的支持质量和确定的不确定量的量。 从提供的质量值确定每个假设的支持值和总体不确定性。 选择具有最高支持值而具有可接受的低不确定度水平的假设。