条件概率关系数据库模型  

Conditional Probabilistic Relational Database Model

作　　者：汪荣贵[1] 张佑生[1] 彭青松[1] 

机构地区：[1]合肥工业大学,合肥230009

出　　处：《微电子学与计算机》2002年第9期7-11,共5页Microelectronics & Computer

摘　　要：现实世界中大量存在着的不确定性信息,关系数据库模型仅视它们为空值,有必要增强其处理这类信息的能力。文章在总结前人工作的基础上推广关系数据库模型,创建能有效处理随机型不确定性信息的条件概率关系数据库模型。该模型通过在关系模式中增加一个条件概率测度属性,为每条记录指定适当的条件概率的途径,来表示不确定性信息。文中以对象码为基本工具,创建了条件概率关系结构;以特征函数为基本工具,定义了一套基于该结构的代数运算规则。条件概率的语意比概率的语意广泛、灵活,因而该模型能有效克服概率关系模型的许多不足。There is a large amount of uncertainty informatio n in real world.This kind of information is only regarded as null in relational database model.It is necessary to enhance the function of managing to uncertai nty information for the model.This paper has extended relational database model on the base of summarizing pioneer works,creating a conditional probabilistic relational database model,which is able to manage to stochastic uncertainty inf ormation efficiently.This model represents uncertainty information through addi ng relational schema a conditional probabilistic measure attrite,and assigning every record a suitable conditional probabilistic measure.This paper has create d conditional probabilistic relational structure with a basic tool of object key 鸦defined an suit of algebra operation rules on the structure with a basic tool of character function.Conditional probability's semantic is more general and f lexi than probability's,so this model can come over many shortcomings of proba bilistic relational model.

关 键 词：条件概率 关系数据库模型 不确定性信息 条件概率测度 条件概率关系 特征函数 

分 类 号：TP311.132[自动化与计算机技术—计算机软件与理论]