Quality Evaluation Model of Innovation and Entrepreneurship Education Based on Fuzzy

Traditional innovation and entrepreneurship education quality evaluation methods often use simple index weighting or cluster analysis, ignoring the correlation and fuzziness between the indicators, resulting in lower credibility of education quality evaluation results. Therefore, an innovation and entrepreneurship education quality evaluation model based on fuzzy clustering is proposed. After analyzing the basic characteristics and influencing factors of innovation and entrepreneurship education, the evaluation index system of innovation and entrepreneurship education is constructed from multiple perspectives according to the principles of scientificity, comprehensiveness, accuracy and operability. In order to improve the consistency of quality data of innovation and entrepreneurship education, it is normalized. The projection pursuit technique is used to reduce dimension and fuzzy classification of multi-dimensional time series education data set, and fuzzy rules are extracted according to classification results and optimal projection values. Three fuzzy membership functions are generated by the trapezoidal distribution method. Finally, the evaluation level of education quality sample data is determined according to the fuzzy approximation degree. The test results show that the construction time of the evaluation model is short, and the reliability of the quality evaluation of innovation and entrepreneurship education is improved.