{"title":"基于ahp -熵法的新型英语人才培养模式评价模型","authors":"Xiao-chao Li, Xia Yu","doi":"10.1109/PHM-Nanjing52125.2021.9612929","DOIUrl":null,"url":null,"abstract":"The current talent training model evaluation model uses the AHP method to calculate the evaluation index weights, which leads to the calculation of the evaluation index weights of the new English talent training model, which is difficult to pass the consistency test. To solve this problem, a new type of English talent training based on the AHP-entropy weight method is proposed. Model evaluation model. Based on the five principles of evaluation indicators, the evaluation indicators of the new English talent training model are divided into four levels: target level, criterion level, first-level index factor level and second-level index factor level, and establish an evaluation index system; The evaluation index system is divided into five levels and assigned to determine the set of evaluation system comments; The change of evaluation index is controlled between 0 and 1, and it is divided into positive index and negative index; Entropy weight method and AHP method are used to calculate the weight of evaluation index respectively. According to the calculation results, the weight of comprehensive evaluation index is obtained, and the final evaluation result is obtained through multi-level and step-by-step evaluation. The experimental results show that: the calculated evaluation index weight, the consistency test result is less than 0.1, and the consistency test is passed.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation Model of New English Talents Training Model Based on AHP-Entropy Method\",\"authors\":\"Xiao-chao Li, Xia Yu\",\"doi\":\"10.1109/PHM-Nanjing52125.2021.9612929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current talent training model evaluation model uses the AHP method to calculate the evaluation index weights, which leads to the calculation of the evaluation index weights of the new English talent training model, which is difficult to pass the consistency test. To solve this problem, a new type of English talent training based on the AHP-entropy weight method is proposed. Model evaluation model. Based on the five principles of evaluation indicators, the evaluation indicators of the new English talent training model are divided into four levels: target level, criterion level, first-level index factor level and second-level index factor level, and establish an evaluation index system; The evaluation index system is divided into five levels and assigned to determine the set of evaluation system comments; The change of evaluation index is controlled between 0 and 1, and it is divided into positive index and negative index; Entropy weight method and AHP method are used to calculate the weight of evaluation index respectively. According to the calculation results, the weight of comprehensive evaluation index is obtained, and the final evaluation result is obtained through multi-level and step-by-step evaluation. The experimental results show that: the calculated evaluation index weight, the consistency test result is less than 0.1, and the consistency test is passed.\",\"PeriodicalId\":436428,\"journal\":{\"name\":\"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation Model of New English Talents Training Model Based on AHP-Entropy Method
The current talent training model evaluation model uses the AHP method to calculate the evaluation index weights, which leads to the calculation of the evaluation index weights of the new English talent training model, which is difficult to pass the consistency test. To solve this problem, a new type of English talent training based on the AHP-entropy weight method is proposed. Model evaluation model. Based on the five principles of evaluation indicators, the evaluation indicators of the new English talent training model are divided into four levels: target level, criterion level, first-level index factor level and second-level index factor level, and establish an evaluation index system; The evaluation index system is divided into five levels and assigned to determine the set of evaluation system comments; The change of evaluation index is controlled between 0 and 1, and it is divided into positive index and negative index; Entropy weight method and AHP method are used to calculate the weight of evaluation index respectively. According to the calculation results, the weight of comprehensive evaluation index is obtained, and the final evaluation result is obtained through multi-level and step-by-step evaluation. The experimental results show that: the calculated evaluation index weight, the consistency test result is less than 0.1, and the consistency test is passed.