{"title":"不确定性和模糊性下推理的模糊逻辑方法——配对案例研究","authors":"Loukia Karanikola, Isambo Karali","doi":"10.1109/INFOMAN.2016.7477533","DOIUrl":null,"url":null,"abstract":"Matchmaking problems have been studied extensively in literature. Today's World Wide Web provides us with the ability to have access to a vast amount of data. The manual matchmaking cannot be considered a feasible solution and automatic methods by machines have been evolved. The matchmaking task is always based on a set of criteria, but these criteria may not have a well-defined meaning. In this paper, a matchmaking method of web data based on fuzzy criteria is outlined.","PeriodicalId":182252,"journal":{"name":"2016 2nd International Conference on Information Management (ICIM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fuzzy logic approach for reasoning under uncertainty and vagueness - a matchmaking case study\",\"authors\":\"Loukia Karanikola, Isambo Karali\",\"doi\":\"10.1109/INFOMAN.2016.7477533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Matchmaking problems have been studied extensively in literature. Today's World Wide Web provides us with the ability to have access to a vast amount of data. The manual matchmaking cannot be considered a feasible solution and automatic methods by machines have been evolved. The matchmaking task is always based on a set of criteria, but these criteria may not have a well-defined meaning. In this paper, a matchmaking method of web data based on fuzzy criteria is outlined.\",\"PeriodicalId\":182252,\"journal\":{\"name\":\"2016 2nd International Conference on Information Management (ICIM)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Information Management (ICIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOMAN.2016.7477533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Information Management (ICIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOMAN.2016.7477533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy logic approach for reasoning under uncertainty and vagueness - a matchmaking case study
Matchmaking problems have been studied extensively in literature. Today's World Wide Web provides us with the ability to have access to a vast amount of data. The manual matchmaking cannot be considered a feasible solution and automatic methods by machines have been evolved. The matchmaking task is always based on a set of criteria, but these criteria may not have a well-defined meaning. In this paper, a matchmaking method of web data based on fuzzy criteria is outlined.
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