{"title":"基于粗糙集属性约简的网瘾诊断决策","authors":"Shuxiang Dong, Guojun Jia","doi":"10.1109/NCIS.2011.173","DOIUrl":null,"url":null,"abstract":"The method of attribute reduction based on rough set theory is applied to the internet addiction diagnostic decision-making to improve the comprehensive performance of the decision-making. This paper briefly introduces the basic concepts of rough set theory and the method of attribute reduction, on which analyses the application of internet addiction diagnostic decision-making. The mentioned method which is applied to the internet addiction diagnostic decision-making, and which greatly enhanced the ability of knowledge acquisition and decision-making, of finding extraordinary events and predicting the trend of future, provided scientific and reliable basises for medical diagnostic decision-making.","PeriodicalId":215517,"journal":{"name":"2011 International Conference on Network Computing and Information Security","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Internet Addiction Diagnostic Decision-Making Based on Attribute Reduction of Rough Set Theories\",\"authors\":\"Shuxiang Dong, Guojun Jia\",\"doi\":\"10.1109/NCIS.2011.173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The method of attribute reduction based on rough set theory is applied to the internet addiction diagnostic decision-making to improve the comprehensive performance of the decision-making. This paper briefly introduces the basic concepts of rough set theory and the method of attribute reduction, on which analyses the application of internet addiction diagnostic decision-making. The mentioned method which is applied to the internet addiction diagnostic decision-making, and which greatly enhanced the ability of knowledge acquisition and decision-making, of finding extraordinary events and predicting the trend of future, provided scientific and reliable basises for medical diagnostic decision-making.\",\"PeriodicalId\":215517,\"journal\":{\"name\":\"2011 International Conference on Network Computing and Information Security\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Network Computing and Information Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCIS.2011.173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Network Computing and Information Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCIS.2011.173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Internet Addiction Diagnostic Decision-Making Based on Attribute Reduction of Rough Set Theories
The method of attribute reduction based on rough set theory is applied to the internet addiction diagnostic decision-making to improve the comprehensive performance of the decision-making. This paper briefly introduces the basic concepts of rough set theory and the method of attribute reduction, on which analyses the application of internet addiction diagnostic decision-making. The mentioned method which is applied to the internet addiction diagnostic decision-making, and which greatly enhanced the ability of knowledge acquisition and decision-making, of finding extraordinary events and predicting the trend of future, provided scientific and reliable basises for medical diagnostic decision-making.