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System and method for estimating a measure of confidence in a match generated from a case-based reasoning system

机译:用于估计从基于案例的推理系统生成的匹配中的置信度的系统和方法

摘要

The present invention discloses a system and a method for estimating a measure of confidence in a match generated from a case- based reasoning system. The measure of confidence is determined by using a confidence function that is derived for all existing cases in the case base. The confidence function is then used to estimate the confidence of any matches between a new case and an existing case. In the present invention, a retrieval unit uses a similarity index and retrieves any existing cases from the case base that has a measurement of similarity to the new case that is within a predetermined similarity threshold. The confidence function then maps the similarity measurement for each retrieved case to a corresponding measure of how many different outcomes are likely given the level of similarity. A report of the existing cases that have the best measures of confidence are then provided in a list. In another embodiment, the confidence estimation is used to analyze an error log generated from a malfunctioning machine.
机译:本发明公开了一种用于估计从基于案例的推理系统生成的匹配中的置信度的量度的系统和方法。置信度的度量是通过使用针对案例库中所有现有案例得出的置信度函数来确定的。然后使用置信度函数来估计新案例与现有案例之间任何匹配项的置信度。在本发明中,检索单元使用相似性索引,并且从具有与新案件的相似性的度量在预定的相似性阈值之内的案件基础中检索任何现有案件。然后,置信度函数将针对每个检索到的案例的相似性度量映射到给定相似性水平下可能有多少不同结果的对应度量。然后,列表中提供了具有最佳置信度的现有案例的报告。在另一个实施例中,置信度估计用于分析从故障机器产生的错误日志。

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