摘要
现实世界中存在着大量不确定性信息,传统关系数据库都视他们为空值。基于扩展传统关系数据库模型处理概率数据方面的不确定性,可建立一种处理概率关系数据库查询方法——稳态处理方法。该方法通过在关系模式中,为每条记录指定适当的概率,表示不确定性信息,同时依据事物之间的联系,确立事件的条件关系概率,其中最大条件关系概率值即为所查询事件的稳态。该方法对于处理大量不确定性信息,预测其最大可能性,具有重要意义。
There is a lot of uncertain information in the real world,and traditional relation database only regards it as null. Based on expanding the uncertainty of the traditional relation database model dealing with probability database,we may establish a method which called steady-state approach to deal with the probability of relational database queries.We designate the suitable probability for each record to express uncertainty information.At the same time,based on the links between things,we establish the conditions for the relationship between the probability of events,and the greatest probability is the largest event of inquiries by state.The method for dealing with a large number of uncertainties and forecast the possibility of its largest is very important.
出处
《湖南人文科技学院学报》
2011年第5期116-119,共4页
Journal of Hunan University of Humanities,Science and Technology
基金
湖南省教育厅科学研究项目(11C0699)
关键词
不确定信息
条件关系概率
稳态
uncertain information
condition relationship probability
steady-state
