{"title":"粗糙集属性约简在论文质量评价中的应用","authors":"Xiaohong Wu, Qunxia Wang","doi":"10.1109/GRC.2006.1635865","DOIUrl":null,"url":null,"abstract":"This paper presents a novel method to evaluate the quality of dissertations of undergraduates majoring in nature science. It adopts the method of rough set attributes reduction, applies the solving algorithm using attribute cores with the form of increasing the number of attributes, which results in a serial of rules and obtains a sound effect. Experiments illustrate the effectiveness of this algorithm.","PeriodicalId":126161,"journal":{"name":"IEEE International Conference on Granular Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Application of rough set attributes reduction in quality evaluation of dissertation\",\"authors\":\"Xiaohong Wu, Qunxia Wang\",\"doi\":\"10.1109/GRC.2006.1635865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel method to evaluate the quality of dissertations of undergraduates majoring in nature science. It adopts the method of rough set attributes reduction, applies the solving algorithm using attribute cores with the form of increasing the number of attributes, which results in a serial of rules and obtains a sound effect. Experiments illustrate the effectiveness of this algorithm.\",\"PeriodicalId\":126161,\"journal\":{\"name\":\"IEEE International Conference on Granular Computing\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GRC.2006.1635865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRC.2006.1635865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of rough set attributes reduction in quality evaluation of dissertation
This paper presents a novel method to evaluate the quality of dissertations of undergraduates majoring in nature science. It adopts the method of rough set attributes reduction, applies the solving algorithm using attribute cores with the form of increasing the number of attributes, which results in a serial of rules and obtains a sound effect. Experiments illustrate the effectiveness of this algorithm.
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