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

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.