Research Article
Development Assessment of Higher Education System Based on TOPSIS-Entropy, Hopfield Neural Network, and Cobweb Model
Table 2
Comprehensive evaluation results obtained by TOPSIS and the entropy weight method.
| | First level indicators | Secondary indicators | Weight | Entropy |
| | Infrastructure factors | Number of institutions of higher learning | 0.075 | 0.95 | | Number of teachers in institutions of higher learning | 0.22 | 0.86 |
| | Educational equity factors | Gender ratio of college students | 0.27 | 0.83 | | Share of teachers between private and public universities | 0.06 | 0.96 | | Higher education enrollment rate | 0.11 | 0.93 |
| | Teaching quality factors | Graduate quality | 0.06 | 0.96 | | Postgraduate rate | 0.07 | 0.95 | | Government expenditure on higher education (% of GDP) | 0.06 | 0.96 |
| | Scientific research level factors | Number of scientific researchers (per million people) | 0.06 | 0.96 | | Number of high-quality scientific research articles output | 0.06 | 0.96 | | Scientific research expenditure (% of GDP) | 0.06 | 0.96 |
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