【24h】

Inclusion dependencies in vague relational databases

机译:模糊关系数据库中的包含依赖性

获取原文

摘要

In order to model the real world with imprecise and uncertain information, various extended relational data models were proposed. Vague set, as a generalized fuzzy set, has more powerful ability to process fuzzy information than fuzzy set. In this paper, a kind of vague relational model and a partial order base on set containment of vague sets are given. Based on the definition of partial order, the paper focuses on the issues of vague inclusion dependencies (VINDs), and show that Casanova et al.'s axiom system is sound and complete for VINDs being satisfied in vague databases.
机译:为了用不精确和不确定的信息对现实世界进行建模,提出了各种扩展的关系数据模型。作为广义模糊集,Vague集比模糊集具有更强大的处理模糊信息的能力。本文给出了一种模糊的关系模型,并基于模糊集的集包含性给出了偏序。基于偏序的定义,本文重点讨论了模糊包含依赖关系(VIND)的问题,并表明Casanova等人的公理系统对于在模糊数据库中满足VIND是完善和完善的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号