Postgraduate Training Performance Evaluation Applying Weighting and Comprehensive Fuzzy Evaluation Methods

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 train-ing performance is designed and proposed. The analytic hierarchy process and the entropy method are combined to determine the weights of seven in-put and output indicators, such as funding input, teacher source input, sci-entific 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 Univer-sity. 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 per-formance of the science college was significantly higher than that of the humanities college.

An Applicable Way of Teaching Quality Evaluation Based on MOOC Platform

The MOOC-based education is an important means to improve the quality of education as the increasing development of internet; meanwhile, the assessment of teaching quality is an indispensable aspect in teaching management, and it has been more and more important as the scale of the students' expansion, In order to deal with the challenges of big data processing effectively in the field of education, we designed a teaching quality assessment model on the MOOC platform based on comprehensive fuzzy evaluation. To verify the effectiveness of our method, a control experiment was adopted to explore the significance of our evaluation method, the results show that it can help teacher to prepare their teaching contents and students to improve their learning efficiency.

Application of Comprehensive Evaluation and Sensitive Analysis in Certain Equipment

In this paper,it is mainly based on the characteristics of index of some equipment, analyses the correspondence between first class index and second class index, studies the calculation of weigh index. Several methods including linear weighted method, Comprehensive fuzzy evaluation method, and the fuzzy Borda method have been taken into account to improve the confirmable methods of judgment matrix in the Analytic Hierarchy Process (AHP). The analyses of three different eqiupment,A system,B system and C system, demonstrates that A system is the best unanimously.