{"title":"采掘业运输网络设计中的不确定性因素","authors":"B. Peltsverger, Svetlana Peltsverger","doi":"10.1109/CSCI.2015.98","DOIUrl":null,"url":null,"abstract":"In transportation networks for extractive industries there are typically several uncertain factors including the volume of deposits, the duration of logistics operations, and the methods of delivery. All transportation networks have a unique outlet, usually a single cargo station for shipping all extracted products to other regions. In this paper, the authors demonstrate how methods of interval analysis and fuzzy sets theory are used for designing structures of such networks.","PeriodicalId":417235,"journal":{"name":"2015 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncertainty Aspects in Designing Transportation Networks for Extractive Industries\",\"authors\":\"B. Peltsverger, Svetlana Peltsverger\",\"doi\":\"10.1109/CSCI.2015.98\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In transportation networks for extractive industries there are typically several uncertain factors including the volume of deposits, the duration of logistics operations, and the methods of delivery. All transportation networks have a unique outlet, usually a single cargo station for shipping all extracted products to other regions. In this paper, the authors demonstrate how methods of interval analysis and fuzzy sets theory are used for designing structures of such networks.\",\"PeriodicalId\":417235,\"journal\":{\"name\":\"2015 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCI.2015.98\",\"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 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI.2015.98","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uncertainty Aspects in Designing Transportation Networks for Extractive Industries
In transportation networks for extractive industries there are typically several uncertain factors including the volume of deposits, the duration of logistics operations, and the methods of delivery. All transportation networks have a unique outlet, usually a single cargo station for shipping all extracted products to other regions. In this paper, the authors demonstrate how methods of interval analysis and fuzzy sets theory are used for designing structures of such networks.