Scientific processing method for course evaluation data in universities

The present paper proposes a scientific approach to address existing weaknesses of data processing and algorithm for teaching evaluation in graduate education. First, "noising disposal" is conducted on raw data generated from the teaching evaluation system. Then, a teaching evaluation index system is developed according to the current situation of our university. The analytic hierarchy process is used to determine the weights of the teaching evaluation index. Finally, the fuzzy comprehensive evaluation method is applied to process teaching evaluation data. This algorithm effectively reduces the effect of evaluator subjectivity on the results, thereby improving the reliability and feasibility of the evaluation system.