{"title":"模糊交通问题拟议排序方法与现有方法的比较","authors":"E. Fany, D. Stephen Dinagar, T.B.M.L. College","doi":"10.52783/cana.v31.1038","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed two ranking methods to solve the transportation problems. Here we introduced new methods for problem solving. In this article, we proposed two ranking functions called ῡ_μ (Value Ranking) and Ᾱ_μ(Ambiguity Ranking) to solve the transportation problems. This work's main aim is to compare the suggested ranking function with the existing ranking method (Roubast Ranking). We have compared it with an example and justified it.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 20","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparison of Proposed Ranking Method for Fuzzy Transportation Problem with the Existing Method\",\"authors\":\"E. Fany, D. Stephen Dinagar, T.B.M.L. College\",\"doi\":\"10.52783/cana.v31.1038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed two ranking methods to solve the transportation problems. Here we introduced new methods for problem solving. In this article, we proposed two ranking functions called ῡ_μ (Value Ranking) and Ᾱ_μ(Ambiguity Ranking) to solve the transportation problems. This work's main aim is to compare the suggested ranking function with the existing ranking method (Roubast Ranking). We have compared it with an example and justified it.\",\"PeriodicalId\":40036,\"journal\":{\"name\":\"Communications on Applied Nonlinear Analysis\",\"volume\":\" 20\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications on Applied Nonlinear Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52783/cana.v31.1038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications on Applied Nonlinear Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52783/cana.v31.1038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
A Comparison of Proposed Ranking Method for Fuzzy Transportation Problem with the Existing Method
In this paper, we proposed two ranking methods to solve the transportation problems. Here we introduced new methods for problem solving. In this article, we proposed two ranking functions called ῡ_μ (Value Ranking) and Ᾱ_μ(Ambiguity Ranking) to solve the transportation problems. This work's main aim is to compare the suggested ranking function with the existing ranking method (Roubast Ranking). We have compared it with an example and justified it.
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