{"title":"模糊线性规划问题的一种新方法","authors":"Wenguang Tang, Yunling Luo","doi":"10.1109/BIFE.2009.50","DOIUrl":null,"url":null,"abstract":"This paper proposes a method for solving fuzzy linear programming problems where all the coefficients are fuzzy numbers. Firstly, this paper use the expected value of fuzzy variable presented by Baoding Liu to compare two fuzzy numbers. Secondly, this paper offer the acceptable solution of fuzzy linear programming for the decision-maker in different degrees of feasiblity. Lastly, we solve one numerical example using this method.","PeriodicalId":165836,"journal":{"name":"Business Intelligence and Financial Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A New Method of Fuzzy Linear Programming Problems\",\"authors\":\"Wenguang Tang, Yunling Luo\",\"doi\":\"10.1109/BIFE.2009.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method for solving fuzzy linear programming problems where all the coefficients are fuzzy numbers. Firstly, this paper use the expected value of fuzzy variable presented by Baoding Liu to compare two fuzzy numbers. Secondly, this paper offer the acceptable solution of fuzzy linear programming for the decision-maker in different degrees of feasiblity. Lastly, we solve one numerical example using this method.\",\"PeriodicalId\":165836,\"journal\":{\"name\":\"Business Intelligence and Financial Engineering\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business Intelligence and Financial Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIFE.2009.50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business Intelligence and Financial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIFE.2009.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a method for solving fuzzy linear programming problems where all the coefficients are fuzzy numbers. Firstly, this paper use the expected value of fuzzy variable presented by Baoding Liu to compare two fuzzy numbers. Secondly, this paper offer the acceptable solution of fuzzy linear programming for the decision-maker in different degrees of feasiblity. Lastly, we solve one numerical example using this method.
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