A. Chernov, O. Kartashov, M. Butakova, E. Karpenko
{"title":"基于粗糙集方法的铁路控制系统事故数据预处理","authors":"A. Chernov, O. Kartashov, M. Butakova, E. Karpenko","doi":"10.1109/SCM.2017.7970551","DOIUrl":null,"url":null,"abstract":"The paper proposes a novel approach to data preprocessing about incidents in railway control systems. Various classes of railway control systems and requirements to their functioning are described. The possible solution concern forming incident data based on diagnosis information is proposed. The main approach is related to rough sets theory, therefore, the basic ideas and mathematical notations in the rough sets area are presented. As the main result, the incident data preprocessing method based on rough sets membership function is developed. The pseudocode of algorithm and numerical examples also are provided.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Incident data preprocessing in railway control systems using a rough-set-based approach\",\"authors\":\"A. Chernov, O. Kartashov, M. Butakova, E. Karpenko\",\"doi\":\"10.1109/SCM.2017.7970551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes a novel approach to data preprocessing about incidents in railway control systems. Various classes of railway control systems and requirements to their functioning are described. The possible solution concern forming incident data based on diagnosis information is proposed. The main approach is related to rough sets theory, therefore, the basic ideas and mathematical notations in the rough sets area are presented. As the main result, the incident data preprocessing method based on rough sets membership function is developed. The pseudocode of algorithm and numerical examples also are provided.\",\"PeriodicalId\":315574,\"journal\":{\"name\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2017.7970551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2017.7970551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Incident data preprocessing in railway control systems using a rough-set-based approach
The paper proposes a novel approach to data preprocessing about incidents in railway control systems. Various classes of railway control systems and requirements to their functioning are described. The possible solution concern forming incident data based on diagnosis information is proposed. The main approach is related to rough sets theory, therefore, the basic ideas and mathematical notations in the rough sets area are presented. As the main result, the incident data preprocessing method based on rough sets membership function is developed. The pseudocode of algorithm and numerical examples also are provided.
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