{"title":"模糊粗糙集在城市交通拥堵预测中的应用","authors":"Yingchao Shao","doi":"10.1109/DCABES.2015.59","DOIUrl":null,"url":null,"abstract":"In this paper, the soft fuzzy rough set theory is applied to predicting urban traffic congestion. For this purpose, a practical example predicting on urban traffic congestion based on the soft fuzzy rough set is presented.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Application of Fuzzy Rough Sets in Predicting on Urban Traffic Congestion\",\"authors\":\"Yingchao Shao\",\"doi\":\"10.1109/DCABES.2015.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the soft fuzzy rough set theory is applied to predicting urban traffic congestion. For this purpose, a practical example predicting on urban traffic congestion based on the soft fuzzy rough set is presented.\",\"PeriodicalId\":444588,\"journal\":{\"name\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCABES.2015.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2015.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Application of Fuzzy Rough Sets in Predicting on Urban Traffic Congestion
In this paper, the soft fuzzy rough set theory is applied to predicting urban traffic congestion. For this purpose, a practical example predicting on urban traffic congestion based on the soft fuzzy rough set is presented.