Abstract
Aiming at the problem of low accuracy and long time in traditional methods, this paper proposes a new method for determining difficult students in Colleges and Universities based on fuzzy optimal partition. This paper analyses the difficult students in Colleges and universities, uses the goal of enhancing the optimization performance to select the characteristics of the difficult students in Colleges and universities, analyses the characteristics selection and obtains the subset of the characteristics of the difficult students according to the Fisher ratio of the characteristic attributes of the difficult students in Colleges and universities. On the basis of improving the objective function, it constructs the fuzzy optimum corresponding to the definition index. Divide the decision algorithm to solve the optimal partition matrix and complete the precise judgement of the difficult students. The experimental results show that the proposed algorithm has a higher accuracy rate and a shorter time in the accurate judgment of college students with difficulties.
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Qu, H. (2020). Precise Decision Algorithm for Difficult Students in Colleges and Universities Based on Big Data Analysis. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_93
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DOI: https://doi.org/10.1007/978-3-030-43309-3_93
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