Evaluation of Flight Test Data Quality Based on Rough Set Theory

With the continuous development of flight test technology, the test system is filled with massive, multi-structured, and multi-dimensional data resources. The value of big data has been fully recognized by the society. How to tap the value of data has become an application in various research fields and industries. The most concerned issue of the field. Whether the data is rubbish or treasure, the most important question is whether the data to be analyzed and mined is of high quality. A low-quality data source will not only fail to reflect the value of the data, but may also run counter to the actual situation, which has side effects. In order to effectively evaluate the quality of flight test data, according to the characteristics of test data in flight test, a test data quality evaluation method based on rough set theory is proposed, standard test methods and test indicators for flight test data quality are proposed, and data quality evaluation is given. The method of rule extraction realizes the quality evaluation of flight test data.