{"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}
引用次数: 2
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.