{"title":"粗糙集理论在多知识库知识发现中的应用","authors":"Jianping Zhuge","doi":"10.1109/IUCE.2009.95","DOIUrl":null,"url":null,"abstract":"This paper introduced the basic concept and characteristics of the Rough Set theories, and with an example the theories are used as form models for producing knowledge base and processing the decision result of each knowledge base, thereby enhancing the reliability and accuracy of the results in decision-making.","PeriodicalId":153560,"journal":{"name":"2009 International Symposium on Intelligent Ubiquitous Computing and Education","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Rough Set Theory in Knowledge Discovery from Multiple Knowledge Base\",\"authors\":\"Jianping Zhuge\",\"doi\":\"10.1109/IUCE.2009.95\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduced the basic concept and characteristics of the Rough Set theories, and with an example the theories are used as form models for producing knowledge base and processing the decision result of each knowledge base, thereby enhancing the reliability and accuracy of the results in decision-making.\",\"PeriodicalId\":153560,\"journal\":{\"name\":\"2009 International Symposium on Intelligent Ubiquitous Computing and Education\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Symposium on Intelligent Ubiquitous Computing and Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IUCE.2009.95\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Symposium on Intelligent Ubiquitous Computing and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IUCE.2009.95","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Rough Set Theory in Knowledge Discovery from Multiple Knowledge Base
This paper introduced the basic concept and characteristics of the Rough Set theories, and with an example the theories are used as form models for producing knowledge base and processing the decision result of each knowledge base, thereby enhancing the reliability and accuracy of the results in decision-making.
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