{"title":"基于粗糙集的制造系统可重构性分析","authors":"Xie Xiao-wen, Xue Wei, Zheng Beirong","doi":"10.1109/ICCSIT.2009.5234514","DOIUrl":null,"url":null,"abstract":"The quick performance evaluation of RMS has crucial influence on the system design and planning of RMS. In the paper, based on the performance evaluation and architecture of RMS and artificial intelligence theory, the Rough sets-based method is presented to deal with, reduce, reasoning the performance indicator data. And then the novel quick performance evaluation system based RST is also presented, which can discover quickly evaluate the performance of RMS.","PeriodicalId":342396,"journal":{"name":"2009 2nd IEEE International Conference on Computer Science and Information Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Reconfigurability analysis of manufacturing system based on rough sets\",\"authors\":\"Xie Xiao-wen, Xue Wei, Zheng Beirong\",\"doi\":\"10.1109/ICCSIT.2009.5234514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The quick performance evaluation of RMS has crucial influence on the system design and planning of RMS. In the paper, based on the performance evaluation and architecture of RMS and artificial intelligence theory, the Rough sets-based method is presented to deal with, reduce, reasoning the performance indicator data. And then the novel quick performance evaluation system based RST is also presented, which can discover quickly evaluate the performance of RMS.\",\"PeriodicalId\":342396,\"journal\":{\"name\":\"2009 2nd IEEE International Conference on Computer Science and Information Technology\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd IEEE International Conference on Computer Science and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSIT.2009.5234514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd IEEE International Conference on Computer Science and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSIT.2009.5234514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reconfigurability analysis of manufacturing system based on rough sets
The quick performance evaluation of RMS has crucial influence on the system design and planning of RMS. In the paper, based on the performance evaluation and architecture of RMS and artificial intelligence theory, the Rough sets-based method is presented to deal with, reduce, reasoning the performance indicator data. And then the novel quick performance evaluation system based RST is also presented, which can discover quickly evaluate the performance of RMS.