{"title":"双宇宙多粒覆盖粗糙集模型","authors":"Zhijia Wang, Qinghai Wang","doi":"10.1109/ICSAI48974.2019.9010099","DOIUrl":null,"url":null,"abstract":"The rough set of classical multi-granulation decision theory is in return for the equivalence relation on the universe. But in practical application, the equivalence relation is difficult to be realized because of the incompleteness of information system. In this paper, multi-granulation decision theory and the covering rough sets model is extended to the dual universes model, and the dual universes multi-granulation covering rough sets model is proposed. The minimal covering description is given, in addition, the definition of lower and upper approximation is constructed to deal with knowledge of multiple granularity space of distributed data. The practicability and reliability of this model are proved by introducing the uncertainty measurement of rough entropy and information entropy.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dual Universes Multi-Granulation Covering Rough Sets Model\",\"authors\":\"Zhijia Wang, Qinghai Wang\",\"doi\":\"10.1109/ICSAI48974.2019.9010099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rough set of classical multi-granulation decision theory is in return for the equivalence relation on the universe. But in practical application, the equivalence relation is difficult to be realized because of the incompleteness of information system. In this paper, multi-granulation decision theory and the covering rough sets model is extended to the dual universes model, and the dual universes multi-granulation covering rough sets model is proposed. The minimal covering description is given, in addition, the definition of lower and upper approximation is constructed to deal with knowledge of multiple granularity space of distributed data. The practicability and reliability of this model are proved by introducing the uncertainty measurement of rough entropy and information entropy.\",\"PeriodicalId\":270809,\"journal\":{\"name\":\"2019 6th International Conference on Systems and Informatics (ICSAI)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 6th International Conference on Systems and Informatics (ICSAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI48974.2019.9010099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Systems and Informatics (ICSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI48974.2019.9010099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dual Universes Multi-Granulation Covering Rough Sets Model
The rough set of classical multi-granulation decision theory is in return for the equivalence relation on the universe. But in practical application, the equivalence relation is difficult to be realized because of the incompleteness of information system. In this paper, multi-granulation decision theory and the covering rough sets model is extended to the dual universes model, and the dual universes multi-granulation covering rough sets model is proposed. The minimal covering description is given, in addition, the definition of lower and upper approximation is constructed to deal with knowledge of multiple granularity space of distributed data. The practicability and reliability of this model are proved by introducing the uncertainty measurement of rough entropy and information entropy.