Abstract
The evaluation process of agriculture engineering teaching is multi-level with multi-factors and prone to be affected by subjective factors. In reference to the experience and methods of EU in the optimization of higher education and teaching, this paper constructs the teaching quality evaluation index system according to the actual situation of the classroom teaching while considering the major setup and geographical distribution of agriculture engineering. A questionnaire survey is conducted on the professors, employers, students and graduates of five colleges and universities, and on this basis, the fuzzy mathematics theory is adopted to analyze the data with the fuzzy comprehensive evaluation method. The evaluation of the current situation of agriculture engineering teaching is obtained to provide a reference for the further deepening of teaching reform. The results show that this method can effectively improve the accuracy, objectivity and rationality of the evaluation.
Highlights
The ultimate goal of schools is to improve the quality of teaching, and the teaching quality assessment is an important condition to test the qualification of the school
Fuzzy comprehensive evaluation method expands the amount of information through the combination of qualitative and quantitative factors, improving the evaluation number and making the evaluation results more scientific and reliable
Method based on fuzzy mathematics. This comprehensive evaluation method transforms the qualitative evaluation into quantitative evaluation according to the membership degree theory of fuzzy mathematics, which means to make a general evaluation of things or objects that are restricted by various factors with fuzzy mathematics [7]
Summary
This comprehensive evaluation method transforms the qualitative evaluation into quantitative evaluation according to the membership degree theory of fuzzy mathematics, which means to make a general evaluation of things or objects that are restricted by various factors with fuzzy mathematics [7]. It is characterized with clear and systematic results, which can solve the problem of fuzziness and difficulty in quantifying and is suitable for solving all kinds of problems with uncertainty. (5) Calculate the comprehensive membership degree vector: It is called the factor set or index set. (6) Conduct the evaluationaccording to the maximum principle of membership or calculate the value of comprehensive evaluation
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