{"title":"电子商务培训平台的模糊综合评价方法","authors":"L. Ye, Li Huang, Long Shen","doi":"10.1109/EDT.2010.5496575","DOIUrl":null,"url":null,"abstract":"The training of E-commerce talents is inseparable from a scientific and systematic training platform. At present, there are hundreds of E-commerce training platforms with different features available in the market; however, we put forward a multi-level comprehensive assessment system based on the theory of fuzzy, characterized in scientificity, accuracy, comprehensiveness and objectivity, enabling the provision of the support to the teaching institutions in the selection of platforms. In the paper, we design the evaluation index system based on the practical needs of E-commerce teaching, establish multi-factor comprehensive evaluation model and verify the model effect by experiments.","PeriodicalId":325767,"journal":{"name":"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fuzzy comprehensive evaluation method on E-commerce training platform\",\"authors\":\"L. Ye, Li Huang, Long Shen\",\"doi\":\"10.1109/EDT.2010.5496575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The training of E-commerce talents is inseparable from a scientific and systematic training platform. At present, there are hundreds of E-commerce training platforms with different features available in the market; however, we put forward a multi-level comprehensive assessment system based on the theory of fuzzy, characterized in scientificity, accuracy, comprehensiveness and objectivity, enabling the provision of the support to the teaching institutions in the selection of platforms. In the paper, we design the evaluation index system based on the practical needs of E-commerce teaching, establish multi-factor comprehensive evaluation model and verify the model effect by experiments.\",\"PeriodicalId\":325767,\"journal\":{\"name\":\"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDT.2010.5496575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDT.2010.5496575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy comprehensive evaluation method on E-commerce training platform
The training of E-commerce talents is inseparable from a scientific and systematic training platform. At present, there are hundreds of E-commerce training platforms with different features available in the market; however, we put forward a multi-level comprehensive assessment system based on the theory of fuzzy, characterized in scientificity, accuracy, comprehensiveness and objectivity, enabling the provision of the support to the teaching institutions in the selection of platforms. In the paper, we design the evaluation index system based on the practical needs of E-commerce teaching, establish multi-factor comprehensive evaluation model and verify the model effect by experiments.