{"title":"用模糊规划方法求解多目标多选择随机运输问题","authors":"S. H. Nasseri, S. Bavandi","doi":"10.1109/CFIS49607.2020.9238695","DOIUrl":null,"url":null,"abstract":"In this paper, a multi-objective model of transportation problem with multi-choice parameters is presented. The alternative choices of the multi-choice parameter are considered as random variables. Due to the conflicting objective functions and the multi-choice of parameters, the problem cannot be solved directly. So, we first consider the interpolating polynomials for the multi -choice parameters. Next, we use the expected value model and the chance constraint approach to convert the original problem into a crisp form which is equivalent to it. Finally, a fuzzy approach is applied to find a compromise solution.","PeriodicalId":128323,"journal":{"name":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Solving Multi-objective Multi-choice Stochastic Transportation Problem with Fuzzy Programming Approach\",\"authors\":\"S. H. Nasseri, S. Bavandi\",\"doi\":\"10.1109/CFIS49607.2020.9238695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a multi-objective model of transportation problem with multi-choice parameters is presented. The alternative choices of the multi-choice parameter are considered as random variables. Due to the conflicting objective functions and the multi-choice of parameters, the problem cannot be solved directly. So, we first consider the interpolating polynomials for the multi -choice parameters. Next, we use the expected value model and the chance constraint approach to convert the original problem into a crisp form which is equivalent to it. Finally, a fuzzy approach is applied to find a compromise solution.\",\"PeriodicalId\":128323,\"journal\":{\"name\":\"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CFIS49607.2020.9238695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CFIS49607.2020.9238695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving Multi-objective Multi-choice Stochastic Transportation Problem with Fuzzy Programming Approach
In this paper, a multi-objective model of transportation problem with multi-choice parameters is presented. The alternative choices of the multi-choice parameter are considered as random variables. Due to the conflicting objective functions and the multi-choice of parameters, the problem cannot be solved directly. So, we first consider the interpolating polynomials for the multi -choice parameters. Next, we use the expected value model and the chance constraint approach to convert the original problem into a crisp form which is equivalent to it. Finally, a fuzzy approach is applied to find a compromise solution.
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