节点文献
基于Vague关系数据模型的数据依赖
Data Dependencies Based on Vague Relational Data Model
【摘要】 基于提出的Vague关系数据模型和Vague集之间的相似度量,研究了Vague关系数据库中的数据依赖问题,给出了Vague函数依赖(VFDs)和Vague多值依赖(VMVDs)的定义及其相应的推理规则.该规则类似于经典关系数据库中函数依赖和多值依赖的Armstrong公理系统,称之为Vague公理系统.并对Vague公理系统的有效性和完备性进行了证明.同时还给出了VFDs满意度的概念及计算VFDs满意度的公式.
【Abstract】 Based on the vague relational data model and vague similarity measure as shown in earlier works,the vague data dependencies on database are investigated.The definitions of vague functional dependencies(VFDs) and vague multivalued functional dependencies(VMVDs) are both given,as well as the inference rules corresponding to them,which are similar to Armstrong’s axioms of the VFD and VMVD in classical relational database and named the vague axioms.The effectiveness and completeness of vague axioms are proved with the idea about the satisfiability of VFDs and formula to calculate the satisfiability both given.
【Key words】 vague set; vague relational data model; data dependencies; inference rules; VFDs satisfiability;
- 【文献出处】 东北大学学报(自然科学版) ,Journal of Northeastern University(Natural Science) , 编辑部邮箱 ,2009年01期
- 【分类号】TP311.13
- 【下载频次】151