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Research on Comprehensive Evaluation of Poor students' Identification based on AHP method

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DOI: 10.23977/trance.2021.030312 | Downloads: 1 | Views: 125

Author(s)

Yukai Zhou 1, Yucong Zhou 1, Yuning Su 1

Affiliation(s)

1 School of materials science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094

Corresponding Author

Yukai Zhou

ABSTRACT

The main problem solved in this paper is to establish an analytic hierarchy process evaluation model and calculate the poverty index according to the factors affecting student poverty, so as to scientifically evaluate, divide and determine the degree of student poverty, and then provide model and data support for poverty alleviation work. First of all, the data in the topic are preprocessed to eliminate the data that can not reflect the effective statistics, and then through the statistical method, the four influencing factors of average consumption in canteen, consumption times (reciprocal), variance and average consumption in supermarket are statistically analyzed to describe the consumption situation. Then four kinds of influencing factors are selected as the criterion layer, the scale of the importance of the influencing factors is determined by pairwise comparison, the judgment matrix of the criterion layer is constructed, and the maximum eigenvalue is calculated to test whether the matrix is consistent. Calculate the consistency ratio to determine the consistent performance acceptance. The influence weight of each factor is obtained by normalization, and the poverty index is calculated.

KEYWORDS

Student poverty, Analytic hierarchy process, Index weight, Poverty index

CITE THIS PAPER

Yukai Zhou, Yucong Zhou, Yuning Su. Research on Comprehensive Evaluation of Poor students' Identification based on AHP method. Transactions on Comparative Education (2021) Vol. 3: 50-55. DOI: http://dx.doi.org/10.23977/trance.2021.030312

REFERENCES

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[2] Hao Jiajing. A study on the application of big data, a student worker, in the relief work for poor students. Shanxi Vocational and Technical College. 1009-5624 (2020) 12-0170-02.
[3] Shi Jianmei, Kong Yuehong. Construction of the Identification Model of Poor College students in big data era based on Fuzzy Analytic hierarchy process Jiangsu Vocational and Technical College of Food and Drug 2096-4110 (2020) 12 (c)-0017-03.
[4] Jiang Qiyuan, Xie Jinxing, Ye Jun. Mathematical model [M]. Beijing: higher Education Press, 2003.
[5] Guo Jinyu, Zhang Zhongbin, Sun Qingyun. Research and application of analytic hierarchy process [J]. Chinese Journal of Safety Science, 2008 (05): 148153.

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