Dynamic Intelligent Development Index Assessment: A Vertical and Horizontal Approach

In benchmark regression analysis, the entropy method is utilized to determine the intelligent development index. This method employs an objective weighting scheme by quantifying the level of dispersion between data, which allows for the retention of the original data samples to the fullest extent possible. This method is commonly used in evaluating data-based models, particularly for cross-sectional data. However, it lacks explanatory power when applied to time series data. To avoid calculation deviation caused by static evaluation methods, the vertical and horizontal method is employed in this study. This approach maximizes differences between evaluation objects on the time series three-dimensional data table, enabling dynamic comparability of the evaluation results. Please refer to the appendix for detailed calculation steps.