{"title":"基于粗糙模糊集的属性约简算法","authors":"Huang Yaxi, Chen Tiejun","doi":"10.1109/ICSGEA.2018.00057","DOIUrl":null,"url":null,"abstract":"In this paper, the method of combining Vague sets and rough set theory is proposed to the problem of \"sharp boundary\" in traditional discretization technology. The concept of Vague equivalence relation is given, and a model of rough sets under Vague equivalence relation is established. Based on the model, positive domain, true dependence degree, and false dependence degree are defined. The attribute reduction algorithm based on vague rough sets is analyzed in detail, and the applicability of the algorithm is verified with examples.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Attribute Reduction Algorithm Based on Rough Vague Sets\",\"authors\":\"Huang Yaxi, Chen Tiejun\",\"doi\":\"10.1109/ICSGEA.2018.00057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the method of combining Vague sets and rough set theory is proposed to the problem of \\\"sharp boundary\\\" in traditional discretization technology. The concept of Vague equivalence relation is given, and a model of rough sets under Vague equivalence relation is established. Based on the model, positive domain, true dependence degree, and false dependence degree are defined. The attribute reduction algorithm based on vague rough sets is analyzed in detail, and the applicability of the algorithm is verified with examples.\",\"PeriodicalId\":445324,\"journal\":{\"name\":\"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSGEA.2018.00057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2018.00057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Attribute Reduction Algorithm Based on Rough Vague Sets
In this paper, the method of combining Vague sets and rough set theory is proposed to the problem of "sharp boundary" in traditional discretization technology. The concept of Vague equivalence relation is given, and a model of rough sets under Vague equivalence relation is established. Based on the model, positive domain, true dependence degree, and false dependence degree are defined. The attribute reduction algorithm based on vague rough sets is analyzed in detail, and the applicability of the algorithm is verified with examples.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
