{"title":"一种用分数进行双面匹配的方法","authors":"Q. Yue","doi":"10.1109/FSKD.2012.6234107","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel method for solving the two-sided matching problem, in which the preferences provided by agents are in the form of scores. Firstly, the problem description of two-sided matching with scores is given. Then the related concepts on satisfaction degree are given. Considering the satisfaction degree of each agent, a multi-objective optimization model is set up. The linear weighted method is used to convert the multi-objective optimization model into a single objective model. The matching result is obtained by solving the model. Finally, a numerical example is given to illustrate the use of the proposed method.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A method for the two-sided matching with scores\",\"authors\":\"Q. Yue\",\"doi\":\"10.1109/FSKD.2012.6234107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel method for solving the two-sided matching problem, in which the preferences provided by agents are in the form of scores. Firstly, the problem description of two-sided matching with scores is given. Then the related concepts on satisfaction degree are given. Considering the satisfaction degree of each agent, a multi-objective optimization model is set up. The linear weighted method is used to convert the multi-objective optimization model into a single objective model. The matching result is obtained by solving the model. Finally, a numerical example is given to illustrate the use of the proposed method.\",\"PeriodicalId\":337941,\"journal\":{\"name\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2012.6234107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2012.6234107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a novel method for solving the two-sided matching problem, in which the preferences provided by agents are in the form of scores. Firstly, the problem description of two-sided matching with scores is given. Then the related concepts on satisfaction degree are given. Considering the satisfaction degree of each agent, a multi-objective optimization model is set up. The linear weighted method is used to convert the multi-objective optimization model into a single objective model. The matching result is obtained by solving the model. Finally, a numerical example is given to illustrate the use of the proposed method.
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