将关系模型推广到直觉模糊数据质量属性模型

D. Boyadzhieva, B. Kolev
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引用次数: 3

摘要

我们提出的模型使数据质量成为直觉模糊关系数据库的一个内在特征。数据的质量不再由用户投诉的级别或数据加载之前的特别sql查询决定,而是显式地存储在关系表中,并且可以定期监视和测量。质量以属性级别存储在基本用户表的补充表中。质量沿着首选质量维度进行测量,并用直觉模糊度表示。为了考虑用户对不同质量维度和表属性的偏好,我们创建了包含权重值的附加表。用户基表不是直觉模糊的,但我们必须使用直觉模糊RDBMS来表示和操作数据质量度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An extension of the relational model to intuitionistic fuzzy data quality attribute model
The model we suggest makes the data quality an intrinsic feature of an intuitionistic fuzzy relational database. The quality of the data is no more determined by the level of user complaints or ad hoc sql queries prior to the data load but it is stored explicitly in relational tables and could be monitored and measured regularly. The quality is stored on an attribute level basis in supplementary tables to the base user ones. The quality is measured along preferred quality dimensions and is represented by intuitionistic fuzzy degrees. To consider the preferences of the user with respect to the different quality dimensions and table attributes we create additional tables that contain the weight values. The user base tables are not intuitionistic fuzzy but we have to use an intuitionistic fuzzy RDBMS to represent and manipulate data quality measures.
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