Postgraduate Training Performance Evaluation Applying Weighting and Comprehensive Fuzzy Evaluation Methods

Abstract

Postgraduate training performance evaluation is an important part of higher education evaluation. In order to quantitatively evaluate the performance of postgraduate training combined with the needs of talent training in colleges and universities, a comprehensive evaluation system for postgraduate training performance is designed and proposed. The analytic hierarchy process and the entropy method are combined to determine the weights of seven input and output indicators, such as funding input, teacher source input, scientific research ability, and graduate output quality. The comprehensive fuzzy evaluation model is also applied. This paper tests the above models to evaluate the graduate training performance of 20 colleges at Tianjin University. It is found that the weight of student input and graduate output quality combined is 87.69%, which makes them the key indicators to measure the performance of graduate training. Furthermore, it is concluded that the performance of the science college was significantly higher than that of the humanities college.