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