{"title":"优势关系粗糙集在地震资料中的应用研究","authors":"Shaochun Wu, Yinyin Li, Minfu Fang, Mingjun Xin","doi":"10.1109/CIT.2008.WORKSHOPS.77","DOIUrl":null,"url":null,"abstract":"In this paper, after discussing classical rough set theory based on indiscemibility relation and the problem of its reduction algorithms on Seismology Data, we arrived at a new definition of dominance distinguishing matrix by taking advantage of the unique characteristic of the extended model. Then the corresponding reduction and rule extracting algorithms are accordingly presented to enhance the efficiency of seeking the reduction in some extent. In fact, we use the rough set theory based on Dominance Relation to get the 272 rules with realistic meaning, from 44381 items in the small Seismology Data in China.","PeriodicalId":155998,"journal":{"name":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application Research of Dominance Relation Rough Set on Seismology Data\",\"authors\":\"Shaochun Wu, Yinyin Li, Minfu Fang, Mingjun Xin\",\"doi\":\"10.1109/CIT.2008.WORKSHOPS.77\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, after discussing classical rough set theory based on indiscemibility relation and the problem of its reduction algorithms on Seismology Data, we arrived at a new definition of dominance distinguishing matrix by taking advantage of the unique characteristic of the extended model. Then the corresponding reduction and rule extracting algorithms are accordingly presented to enhance the efficiency of seeking the reduction in some extent. In fact, we use the rough set theory based on Dominance Relation to get the 272 rules with realistic meaning, from 44381 items in the small Seismology Data in China.\",\"PeriodicalId\":155998,\"journal\":{\"name\":\"2008 IEEE 8th International Conference on Computer and Information Technology Workshops\",\"volume\":\"216 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE 8th International Conference on Computer and Information Technology Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIT.2008.WORKSHOPS.77\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIT.2008.WORKSHOPS.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application Research of Dominance Relation Rough Set on Seismology Data
In this paper, after discussing classical rough set theory based on indiscemibility relation and the problem of its reduction algorithms on Seismology Data, we arrived at a new definition of dominance distinguishing matrix by taking advantage of the unique characteristic of the extended model. Then the corresponding reduction and rule extracting algorithms are accordingly presented to enhance the efficiency of seeking the reduction in some extent. In fact, we use the rough set theory based on Dominance Relation to get the 272 rules with realistic meaning, from 44381 items in the small Seismology Data in China.