Precise Decision Algorithm for Difficult Students in Colleges and Universities Based on Big Data Analysis

  • Huijie QuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)


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.


Big data Difficult students in colleges Decision algorithm 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Mathematics and Information Science DepartmentGuangxi College of EducationNanningChina

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