{"title":"时间序列的模糊预测","authors":"P. Khedkar, S. Keshav","doi":"10.1109/FUZZY.1992.258630","DOIUrl":null,"url":null,"abstract":"An approach to time series extrapolation based on fuzzy control is described. The standard exponential averaging scheme is inflexible in that it gives a fixed weight to past history, thus ignoring transient phases in system dynamics. A modification to the scheme where the control parameter of the averaging scheme is dynamically adjusted by a simple fuzzy logic controller is presented. The design of the controller is described. The scheme was evaluated by simulation on test workloads and by application to the real-world problem of flow control in communication networks. The sensitivity of the system to its descriptive parameters is outlined.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"Fuzzy prediction of time series\",\"authors\":\"P. Khedkar, S. Keshav\",\"doi\":\"10.1109/FUZZY.1992.258630\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach to time series extrapolation based on fuzzy control is described. The standard exponential averaging scheme is inflexible in that it gives a fixed weight to past history, thus ignoring transient phases in system dynamics. A modification to the scheme where the control parameter of the averaging scheme is dynamically adjusted by a simple fuzzy logic controller is presented. The design of the controller is described. The scheme was evaluated by simulation on test workloads and by application to the real-world problem of flow control in communication networks. The sensitivity of the system to its descriptive parameters is outlined.<<ETX>>\",\"PeriodicalId\":222263,\"journal\":{\"name\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1992.258630\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1992.258630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach to time series extrapolation based on fuzzy control is described. The standard exponential averaging scheme is inflexible in that it gives a fixed weight to past history, thus ignoring transient phases in system dynamics. A modification to the scheme where the control parameter of the averaging scheme is dynamically adjusted by a simple fuzzy logic controller is presented. The design of the controller is described. The scheme was evaluated by simulation on test workloads and by application to the real-world problem of flow control in communication networks. The sensitivity of the system to its descriptive parameters is outlined.<>