{"title":"用L-R方法计算模糊排队性能指标","authors":"J. P. M. Kanyinda, R. M. Matendo, B. U. E. Lukata","doi":"10.5899/2015/JFSVA-00226","DOIUrl":null,"url":null,"abstract":"This article shows that the {\\it L-R method} introduced in this work is one of valid methods for computing performance measures of fuzzy queues. Using this calculation technique, we find the number of customers and the waiting time of a simple queue M/M/1 in fuzzy environment. L-R method has the advantage of being short, convenient and flexible compared to the well-known and called alpha-cuts method.","PeriodicalId":308518,"journal":{"name":"Journal of Fuzzy Set Valued Analysis","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Computing Fuzzy Queueing Performance Measures by L-R Method\",\"authors\":\"J. P. M. Kanyinda, R. M. Matendo, B. U. E. Lukata\",\"doi\":\"10.5899/2015/JFSVA-00226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article shows that the {\\\\it L-R method} introduced in this work is one of valid methods for computing performance measures of fuzzy queues. Using this calculation technique, we find the number of customers and the waiting time of a simple queue M/M/1 in fuzzy environment. L-R method has the advantage of being short, convenient and flexible compared to the well-known and called alpha-cuts method.\",\"PeriodicalId\":308518,\"journal\":{\"name\":\"Journal of Fuzzy Set Valued Analysis\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Fuzzy Set Valued Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5899/2015/JFSVA-00226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Fuzzy Set Valued Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5899/2015/JFSVA-00226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computing Fuzzy Queueing Performance Measures by L-R Method
This article shows that the {\it L-R method} introduced in this work is one of valid methods for computing performance measures of fuzzy queues. Using this calculation technique, we find the number of customers and the waiting time of a simple queue M/M/1 in fuzzy environment. L-R method has the advantage of being short, convenient and flexible compared to the well-known and called alpha-cuts method.
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