{"title":"在机械运输系统布线知识的基础上","authors":"S. Belyakov, A. Bozhenyuk, I. Rozenberg","doi":"10.1109/CINTI.2013.6705183","DOIUrl":null,"url":null,"abstract":"This paper investigates the ways of building the routing algorithms in mechanical transport systems on the basis of knowledge. It is assumed that the expert observing the behavior of the system shows his experience by specifying the subsystems with a specific behavior. To create a routing table, the model of fuzzy temporal hypergraph is used. Fixed and dynamic routing is considered; modifications of Dijkstra's algorithm for the case of a fuzzy temporal graph are shown.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Routing in the mechanical transport systems on the basis of knowledge\",\"authors\":\"S. Belyakov, A. Bozhenyuk, I. Rozenberg\",\"doi\":\"10.1109/CINTI.2013.6705183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the ways of building the routing algorithms in mechanical transport systems on the basis of knowledge. It is assumed that the expert observing the behavior of the system shows his experience by specifying the subsystems with a specific behavior. To create a routing table, the model of fuzzy temporal hypergraph is used. Fixed and dynamic routing is considered; modifications of Dijkstra's algorithm for the case of a fuzzy temporal graph are shown.\",\"PeriodicalId\":439949,\"journal\":{\"name\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINTI.2013.6705183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI.2013.6705183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Routing in the mechanical transport systems on the basis of knowledge
This paper investigates the ways of building the routing algorithms in mechanical transport systems on the basis of knowledge. It is assumed that the expert observing the behavior of the system shows his experience by specifying the subsystems with a specific behavior. To create a routing table, the model of fuzzy temporal hypergraph is used. Fixed and dynamic routing is considered; modifications of Dijkstra's algorithm for the case of a fuzzy temporal graph are shown.