Teaching Evaluation Algorithm Based on Grey Relational Analysis
Grey correlation analysis uses grey correlations to describe the strength, magnitude, and order of relationships among factors. The data sequence of the drmined data is used as a reference data string, and the data sequence matrix of each influence factor is used as a control data matrix to calculat...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5596518 |
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| _version_ | 1832552819730677760 |
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| author | Xiaoying Zhang Xiuying Yang Jing Yang |
| author_facet | Xiaoying Zhang Xiuying Yang Jing Yang |
| author_sort | Xiaoying Zhang |
| collection | DOAJ |
| description | Grey correlation analysis uses grey correlations to describe the strength, magnitude, and order of relationships among factors. The data sequence of the drmined data is used as a reference data string, and the data sequence matrix of each influence factor is used as a control data matrix to calculate the correlation between the data sequence and the reference of each factor in the control data matrix. The basic idea of quantitatively measuring the correlation between each factor and the object is to determine the similarity between the reference data sequence and the shape of multiple comparison data sequences and to determine whether the connection is strong. It reflects the degree of correlation between curves. In this paper, we examine the problem of evaluating the quality of undergraduate education by multiple indicators and establish a comprehensive evaluation model of the quality of undergraduate education in the 13 prefecture level cities by using the grey correlation analysis. The correlation coefficient of each index was obtained by the grey correlation analysis, the correlation number of each index was analyzed and ranked, and finally the improvement of the number of “advanced teachers” and the education of 13 prefectures were reduced as much as possible. |
| format | Article |
| id | doaj-art-fa8e12278db54994a087cd05c4016ed4 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-fa8e12278db54994a087cd05c4016ed42025-02-03T05:57:50ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55965185596518Teaching Evaluation Algorithm Based on Grey Relational AnalysisXiaoying Zhang0Xiuying Yang1Jing Yang2School of Finance, Hainan Vocational University of Science and Technology, Hainan 571126, ChinaSchool of Finance, Hainan Vocational University of Science and Technology, Hainan 571126, ChinaPublic Teaching Department, Hainan Vocational University of Science and Technology, Hainan 571126, ChinaGrey correlation analysis uses grey correlations to describe the strength, magnitude, and order of relationships among factors. The data sequence of the drmined data is used as a reference data string, and the data sequence matrix of each influence factor is used as a control data matrix to calculate the correlation between the data sequence and the reference of each factor in the control data matrix. The basic idea of quantitatively measuring the correlation between each factor and the object is to determine the similarity between the reference data sequence and the shape of multiple comparison data sequences and to determine whether the connection is strong. It reflects the degree of correlation between curves. In this paper, we examine the problem of evaluating the quality of undergraduate education by multiple indicators and establish a comprehensive evaluation model of the quality of undergraduate education in the 13 prefecture level cities by using the grey correlation analysis. The correlation coefficient of each index was obtained by the grey correlation analysis, the correlation number of each index was analyzed and ranked, and finally the improvement of the number of “advanced teachers” and the education of 13 prefectures were reduced as much as possible.http://dx.doi.org/10.1155/2021/5596518 |
| spellingShingle | Xiaoying Zhang Xiuying Yang Jing Yang Teaching Evaluation Algorithm Based on Grey Relational Analysis Complexity |
| title | Teaching Evaluation Algorithm Based on Grey Relational Analysis |
| title_full | Teaching Evaluation Algorithm Based on Grey Relational Analysis |
| title_fullStr | Teaching Evaluation Algorithm Based on Grey Relational Analysis |
| title_full_unstemmed | Teaching Evaluation Algorithm Based on Grey Relational Analysis |
| title_short | Teaching Evaluation Algorithm Based on Grey Relational Analysis |
| title_sort | teaching evaluation algorithm based on grey relational analysis |
| url | http://dx.doi.org/10.1155/2021/5596518 |
| work_keys_str_mv | AT xiaoyingzhang teachingevaluationalgorithmbasedongreyrelationalanalysis AT xiuyingyang teachingevaluationalgorithmbasedongreyrelationalanalysis AT jingyang teachingevaluationalgorithmbasedongreyrelationalanalysis |