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During the COVID-19 epidemic, college students could not return to the school, which had a great impact on the talent training of colleges and universities Based on the statistical learning theory, this paper puts forward an evaluation model for the cultivation of innovative talents in universities after the epidemic In this paper, the evaluation index system of the quality of innovative and entrepreneurial personnel training in Universities, which is composed of four first-class indexes: environment, teaching links, teachers and students, is constructed At the same time, this paper uses the fuzzy comprehensive evaluation method for empirical research Firstly, the factor set of the evaluation object and the grade domain of the comprehensive evaluation are determined Then, AHP is used to determine the weight of evaluation indexes and expert scoring method is used to determine the single factor fuzzy comprehensive evaluation matrix of each level According to the evaluation matrix, the fuzzy relation between evaluation object and evaluation set is calculated Finally, according to the principle of maximum membership degree, the evaluation grade corresponding to the maximum value in the fuzzy relation set is calculated as the evaluation result of the final evaluation object The empirical results show that this method can improve the accuracy of the evaluation model of innovation and entrepreneurship talent training, and has a certain reference value for the talent training in Universities © 2020 - IOS Press and the authors All rights reserved

journal of intelligent and fuzzy systems

Quality evaluation of practical training of innovative and entrepreneurial talents in universities based on statistical learning theory after COVID-19 epidemic