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The Theory and Practice of Innovation and Enntrepreneurship ›› 2022, Vol. 5 ›› Issue (8): 168-170.

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Classification of Students' Grades based on Fuzzy Cluster Analysis

YU Haiyang1, LI Xiuwen2   

  1. 1. School of Mechanical and Electrical Engineering, Dalian Minzu University, Dalian Liaoning, 116600, China;
    2. College of Science, Dalian Minzu University, Dalian Liaoning, 116600, China
  • Online:2022-04-25 Published:2022-10-28

Abstract: In this paper, in order to grasp the learning situation of students' professional courses, according to the scores of each item type of students' professional course test paper, the fuzzy cluster analysis method is used to classify students' grades. This paper selects students' scores as statistical indicators, standardizes the data, uses the maximum minimum method to establish the fuzzy similarity matrix, and uses the transitive closure method for fuzzy cluster analysis. The results show that the fuzzy cluster analysis method can classify the students' grades more scientifically, which is helpful to master the students' learning situation and improve their grades effectively.

Key words: Examination paper analysis, Student achievement, Fuzzy cluster analysis, Fuzzy similarity matrix

CLC Number: