{"title":"使用模糊匈牙利法解决分配问题的优化方法","authors":"Amit Kumar Nandan, J. P. Tripathi, V. K. Tiwari","doi":"10.47191/etj/v9i07.17","DOIUrl":null,"url":null,"abstract":"The assignment method assigns a particular (employee) to a particular (work) \"Assuming an equal number of jobs and workers.\" In this paper, we are introducing a pentagonal ranking method by which we can convert the cost values (Fuzzy numbers) of the Fuzzy Assignment Problem (FAP) into crisp values. By the Hungarian method, we can optimize the cost of the FAP. A numerical value illustrates the method.","PeriodicalId":507832,"journal":{"name":"Engineering and Technology Journal","volume":"9 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimized Approach to Solve Assignment Problems Using the Fuzzy Hungarian Method\",\"authors\":\"Amit Kumar Nandan, J. P. Tripathi, V. K. Tiwari\",\"doi\":\"10.47191/etj/v9i07.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The assignment method assigns a particular (employee) to a particular (work) \\\"Assuming an equal number of jobs and workers.\\\" In this paper, we are introducing a pentagonal ranking method by which we can convert the cost values (Fuzzy numbers) of the Fuzzy Assignment Problem (FAP) into crisp values. By the Hungarian method, we can optimize the cost of the FAP. A numerical value illustrates the method.\",\"PeriodicalId\":507832,\"journal\":{\"name\":\"Engineering and Technology Journal\",\"volume\":\"9 8\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering and Technology Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47191/etj/v9i07.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering and Technology Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47191/etj/v9i07.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimized Approach to Solve Assignment Problems Using the Fuzzy Hungarian Method
The assignment method assigns a particular (employee) to a particular (work) "Assuming an equal number of jobs and workers." In this paper, we are introducing a pentagonal ranking method by which we can convert the cost values (Fuzzy numbers) of the Fuzzy Assignment Problem (FAP) into crisp values. By the Hungarian method, we can optimize the cost of the FAP. A numerical value illustrates the method.
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