{"title":"基于分组算法的自动生成隶属函数的实现","authors":"A. Kowalczyk, A. Pelikant","doi":"10.1109/EURCON.2007.4400316","DOIUrl":null,"url":null,"abstract":"Fuzzy methods and clustering algorithms have been applied to relational database system. Fuzzy clusters can be used to prepare fuzzy queries in database system. By means of fuzzy sets issue, we are able to get every ambiguous or imprecise information kept in a database. This opportunity is unreachable in conventional Boolean logic, therefore this paper proves an expressive power of fuzzy logic theorem in database real problems apply. Implementation of fuzzy logic on database systems extends traditional SQL language with new mechanisms and new features.","PeriodicalId":191423,"journal":{"name":"EUROCON 2007 - The International Conference on \"Computer as a Tool\"","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Implementation of automatically generated membership functions based on grouping algorithms\",\"authors\":\"A. Kowalczyk, A. Pelikant\",\"doi\":\"10.1109/EURCON.2007.4400316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy methods and clustering algorithms have been applied to relational database system. Fuzzy clusters can be used to prepare fuzzy queries in database system. By means of fuzzy sets issue, we are able to get every ambiguous or imprecise information kept in a database. This opportunity is unreachable in conventional Boolean logic, therefore this paper proves an expressive power of fuzzy logic theorem in database real problems apply. Implementation of fuzzy logic on database systems extends traditional SQL language with new mechanisms and new features.\",\"PeriodicalId\":191423,\"journal\":{\"name\":\"EUROCON 2007 - The International Conference on \\\"Computer as a Tool\\\"\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EUROCON 2007 - The International Conference on \\\"Computer as a Tool\\\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURCON.2007.4400316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUROCON 2007 - The International Conference on \"Computer as a Tool\"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2007.4400316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of automatically generated membership functions based on grouping algorithms
Fuzzy methods and clustering algorithms have been applied to relational database system. Fuzzy clusters can be used to prepare fuzzy queries in database system. By means of fuzzy sets issue, we are able to get every ambiguous or imprecise information kept in a database. This opportunity is unreachable in conventional Boolean logic, therefore this paper proves an expressive power of fuzzy logic theorem in database real problems apply. Implementation of fuzzy logic on database systems extends traditional SQL language with new mechanisms and new features.
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