{"title":"粗糙集上的核搜索","authors":"K. Boži","doi":"10.1109/ITI.2001.938021","DOIUrl":null,"url":null,"abstract":"The main motto of rough sets is: \"Let the data speak for themselves!\". Rough sets are based on the theory of sets. The main applications of rough set theory are attribute reduction, rule generation and prediction. Many examples of applications of rough sets to process control, economics, medical diagnosis, biochemistry, environmental science, biology, chemistry psychology, conflict analysis and other fields can be found in (Lin and Cercone, 1997; Polkowski and Skowron, 1998; Slowinski, 1992). We developed a different algorithm for searching the core. The application can be used in most mentioned cases.","PeriodicalId":375405,"journal":{"name":"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Core searching on rough sets\",\"authors\":\"K. Boži\",\"doi\":\"10.1109/ITI.2001.938021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main motto of rough sets is: \\\"Let the data speak for themselves!\\\". Rough sets are based on the theory of sets. The main applications of rough set theory are attribute reduction, rule generation and prediction. Many examples of applications of rough sets to process control, economics, medical diagnosis, biochemistry, environmental science, biology, chemistry psychology, conflict analysis and other fields can be found in (Lin and Cercone, 1997; Polkowski and Skowron, 1998; Slowinski, 1992). We developed a different algorithm for searching the core. The application can be used in most mentioned cases.\",\"PeriodicalId\":375405,\"journal\":{\"name\":\"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITI.2001.938021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITI.2001.938021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
粗糙集的主要格言是:“让数据自己说话!”粗糙集是建立在集合理论基础上的。粗糙集理论的主要应用是属性约简、规则生成和预测。粗糙集在过程控制、经济学、医学诊断、生物化学、环境科学、生物学、化学心理学、冲突分析等领域的应用实例在(Lin和Cercone, 1997;Polkowski and Skowron, 1998;Slowinski, 1992)。我们开发了一种不同的算法来搜索核心。该应用程序可用于上述大多数情况。
The main motto of rough sets is: "Let the data speak for themselves!". Rough sets are based on the theory of sets. The main applications of rough set theory are attribute reduction, rule generation and prediction. Many examples of applications of rough sets to process control, economics, medical diagnosis, biochemistry, environmental science, biology, chemistry psychology, conflict analysis and other fields can be found in (Lin and Cercone, 1997; Polkowski and Skowron, 1998; Slowinski, 1992). We developed a different algorithm for searching the core. The application can be used in most mentioned cases.
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