{"title":"模糊多数据库的扩展关系代数","authors":"A. Sharma, A. Goswami, D. Gupta","doi":"10.1109/ISPAN.2004.1300520","DOIUrl":null,"url":null,"abstract":"Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world problems. In this paper, using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model by Ee Peng Lilm et al. (1999). The extended model integrates local fuzzy databases by merging the respective export fuzzy databases to generate a set of FTS relations of fuzzy multidatabase. A set of algebraic operations is defined to manipulate the FTS relations and their correctness is established. A set of algebraic rules is also presented to optimize FTS algebraic expressions.","PeriodicalId":198404,"journal":{"name":"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An extended relational algebra for fuzzy multidatabases\",\"authors\":\"A. Sharma, A. Goswami, D. Gupta\",\"doi\":\"10.1109/ISPAN.2004.1300520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world problems. In this paper, using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model by Ee Peng Lilm et al. (1999). The extended model integrates local fuzzy databases by merging the respective export fuzzy databases to generate a set of FTS relations of fuzzy multidatabase. A set of algebraic operations is defined to manipulate the FTS relations and their correctness is established. A set of algebraic rules is also presented to optimize FTS algebraic expressions.\",\"PeriodicalId\":198404,\"journal\":{\"name\":\"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPAN.2004.1300520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPAN.2004.1300520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
数据库范式的最新趋势是结合模糊集来处理现实世界问题的不精确和模糊信息。本文利用模糊集和可能性理论的概念，Ee Peng Lilm et al.(1999)对TS-relational model进行了FTS关系模型的扩展。扩展模型通过合并各自的导出模糊数据库来集成本地模糊数据库，生成一组模糊多数据库的FTS关系。定义了一组处理FTS关系的代数运算，并证明了其正确性。提出了一套优化FTS代数表达式的代数规则。
An extended relational algebra for fuzzy multidatabases
Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world problems. In this paper, using the concepts of fuzzy sets and possibility theory, a FTS relational model is developed to extend the TS-relational model by Ee Peng Lilm et al. (1999). The extended model integrates local fuzzy databases by merging the respective export fuzzy databases to generate a set of FTS relations of fuzzy multidatabase. A set of algebraic operations is defined to manipulate the FTS relations and their correctness is established. A set of algebraic rules is also presented to optimize FTS algebraic expressions.
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