{"title":"基于加权TOPSIS模型的大学教育评价体系","authors":"Keke Hu","doi":"10.25236/IJNDE.2021.030407","DOIUrl":null,"url":null,"abstract":"The higher education system is an important factor in the promotion of the national econ- omy, so it is of great significance to evaluate the higher education system of a country or region. Next, our team will build a model to evaluate the health of higher education systems in some countries. We first determined 9 education-related indicators including international awards, and selected 11 countries including the United States and the United Kingdom for eval- uation. The entropy weight TOPSIS model was used to complete the preliminary evaluation, but the ranking results are far from reality. Therefore, we introduced a new index variation coefficient to improve our model. Finally, the TOPSIS method is used to evaluate the indicators again, and the results are close to reality and satisfactory.","PeriodicalId":293852,"journal":{"name":"International Journal of New Developments in Education","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"University Education Evaluation System Based on Weighted TOPSIS Model\",\"authors\":\"Keke Hu\",\"doi\":\"10.25236/IJNDE.2021.030407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The higher education system is an important factor in the promotion of the national econ- omy, so it is of great significance to evaluate the higher education system of a country or region. Next, our team will build a model to evaluate the health of higher education systems in some countries. We first determined 9 education-related indicators including international awards, and selected 11 countries including the United States and the United Kingdom for eval- uation. The entropy weight TOPSIS model was used to complete the preliminary evaluation, but the ranking results are far from reality. Therefore, we introduced a new index variation coefficient to improve our model. Finally, the TOPSIS method is used to evaluate the indicators again, and the results are close to reality and satisfactory.\",\"PeriodicalId\":293852,\"journal\":{\"name\":\"International Journal of New Developments in Education\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of New Developments in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25236/IJNDE.2021.030407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of New Developments in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25236/IJNDE.2021.030407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
University Education Evaluation System Based on Weighted TOPSIS Model
The higher education system is an important factor in the promotion of the national econ- omy, so it is of great significance to evaluate the higher education system of a country or region. Next, our team will build a model to evaluate the health of higher education systems in some countries. We first determined 9 education-related indicators including international awards, and selected 11 countries including the United States and the United Kingdom for eval- uation. The entropy weight TOPSIS model was used to complete the preliminary evaluation, but the ranking results are far from reality. Therefore, we introduced a new index variation coefficient to improve our model. Finally, the TOPSIS method is used to evaluate the indicators again, and the results are close to reality and satisfactory.
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