Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 1, 2023


Pages


DOI

Article

Analysis of the adaptability of constructing a system for helping poor students in colleges and universities in the context of big data

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Authors

Gaochao Xu Affiliation:
College of Marine Electrical and Intelligent Engineering, Jiangsu Maritime Institute, Nanjing, Jiangsu, 211170, China.
and Jie Hui Affiliation:
College of Marine Electrical and Intelligent Engineering, Jiangsu Maritime Institute, Nanjing, Jiangsu, 211170, China.


Abstract

This paper first analyzes the procedure process and needs of identifying poor students in colleges and universities and constructs a working system to help them. Secondly, it analyzes the evaluation process of the comprehensive system for assisting poor students and constructs an evaluation index system for their aid work. Then, the fuzzy comprehensive evaluation was established to comprehensively evaluate the work of poor students’ aid, and the results were tested using the EDA model. Finally, the quantitative analysis of index weights and satisfaction was conducted with the example of H University. The results showed that, from the index weights, the index weight of the identification of poor students was the largest, 0.3294, and the weights of the construction of rules and regulations and work effectiveness were the smallest, 0.0838 and 0.0178, respectively.


Keywords

Student support work system, Index system, Fuzzy comprehensive evaluation, EDA model, Index weights, 97B20


Citation

Xu, G. & Hui, J. (2023). Analysis of the adaptability of constructing a system for helping poor students in colleges and universities in the context of big data. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00902
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