Evaluation Model of Health Degree and Sustainability of Higher Education System

Education should be regarded as the foundation for a project of vital and lasting importance. Based on extensive literature review and reference to indicators used in academic rankings made by major institutions, we have collected data which span from 2000 to 2015. After the quantitative processing of indicator data, we divided the entities into three categories by cluster analysis, and used PCA to select several indicators that have a significant impact. After sorting the entities by TOPSIS, we finally selected six indicators. Gross enrolment rate, gender ratios and government investment were used to measure the health of the higher education system, while the proportion of international students and the average age of students at school were used to measure the sustainability of the system. For an entity-specific analysis, we selected Australia, Japan the United Kingdom China and India according to the clustering results.  In this section, the fuzzy comprehensive evaluation method was used to score the current higher education system in five countries. The evaluation result met the macro part of the evaluation model. The evaluation model is fully data based with few subjective or arbitrary decision rules. The indicators involved in the model are published statistically by countries around the world so that the model has extremely strong universality. In addition, this model uses lots of methods to make the results more comprehensive and accurate.