## 3 Evaluation Data and Related Algorithms  
### Data Sources  
When constructing the indicator system for world-class parks, it is necessary to combine the development characteristics of these parks with targeted approaches. At the same time, some basic principles should be followed, such as scientificity, directionality, and operability. Scientificity means that the indicators should be important factors that influence the innovative capabilities of world-class parks. The indicators must also possess completeness and be systematic. Directionality means that the purpose of the evaluation is to analyze the development characteristics of world-class parks and guide and promote the development of other parks. Evaluators need to have a systematic understanding of the development direction and process of high-tech zones, which should be reflected through the evaluation indicator system and its evolution. Furthermore, the establishment of the indicator system is for practical application, so each indicator should be feasible and operational. Therefore, it is advisable to use simple indicators to reflect the characteristics of world-class parks.  
Based on the analysis of the principles for constructing the indicator system mentioned above, the dataset used in this study comes from two categories of data compiled by the Torch Center of the Ministry of Science and Technology of China from 2013 to 2017, which covers all national high-tech zones. The aim is to ensure the integrity and objectivity of the dataset.  
The first category of data includes \"enterprise\"-related data of national high-tech zones. Enterprises are the main force driving high-tech development, occupying a dominant position in technological research and development, product design, and market promotion. The data related to \"enterprises\" include the number of enterprises in each high-tech zone, the average and end-of-year number of employees, authorized patents, scientific and technological personnel, institutional funding expenditure, and the number of personnel with bachelor's, master's, and doctoral degrees. The second category of data includes\"park\"-related data from national high-tech zones. The development of high-tech zones is a complex system process that requires the participation and mutual development of governments, universities, research institutions, and financial institutions. The park data include the total production value of the park, the area of the park, total revenue and expenditure of the high-tech zone, the number of research institutes, and the number of various universities. Table 1 shows part of the configuration detail data in 2017.  
From 2013 to 2017, the number of national high-tech zones increased from 115 to 157 (including Suzhou Industrial Park). The number of national high-tech zone indicators collected by the Torch Center of the Ministry of Science and Technology increased from 246 to 350 (Table 2). In this study, for each year, all the collected statistics were organized and analyzed to obtain the indicator values of the characteristics of world-class parks for each year. Based on the average weights of the characteristic indicators, an indicator system for world-class parks was constructed.