A comprehensive assessment method for the power structured data classification and grading based on hierarchical analysis

With the transformation of the digital development of power grids, the classification and grading of structured data for electricity is an important basis for data security protection. Existing methods for assessing data classification and grading results are mostly always based on individual indicators of the model's operational results. However, such methods can only evaluate a single performance indicator of that result, and cannot provide a comprehensive evaluation of all performance indicators. This paper proposes a comprehensive assessment method for the power structured data classification and grading based on hierarchical analysis, which allows various quality elements of the model to be extracted according to different needs, establishes a hierarchical indicator system, and determines the weights of each indicator in the system by means of hierarchical analysis, and finally calculates a comprehensive quality score for the classification and grading results. Finally, the method is systematically validated using different classification and grading models.