Gross Measurement Error Identification Using the Greysystem Theory
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چکیده
In a measurement process, measurement data may involve gross errors, which significantly exceed true values, when a measurement quantity is measured repeatedly without significant changes in measurement conditions. If the suspicious data remained during data processing, it will cause incorrect assessment on measurement accuracy due to the distorted measurement results have been used. Correct identification of gross measurement errors is an important issue to achieve reliable measurement results.
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تاریخ انتشار 2002