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Integration of Proximity Relations under Consistency Constraint

机译:一致性约束下的邻近关系的整合

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Though the data integration problem of relational databases has been well studied, little work addresses the problem in the context of fuzzy relational databases. The fuzzy relational model relies on the specification of either a similarity relation or a proximity relation for each scalar domain in the fuzzy database. Without the constraint of max-min transitivity, proximity relations can be defined in an intuitive way. This paper states a resolution in integrating multiple proximity relations. First, the closure property of weighted combination of multiple proximity relations is shown. Then, the notion of consistency constraint is defined. It has been proved that the weighted combination of proximity relations under such constrain Is still consistent with each of the proximity relations prior to their integration.
机译:虽然已经很好地研究了关系数据库的数据集成问题,但很少的工作解决了模糊关系数据库的上下文中的问题。模糊关系模型依赖于模糊数据库中每个标量域的相似关系或接近关系的规范。如果没有MAX-MIN传递率的约束,则可以以直观的方式定义接近关系。本文规定了整合多个邻近关系的分辨率。首先,示出了多个接近关系的加权组合的闭合性。然后,定义了一致性约束的概念。已经证明,在这种约束下的接近关系的加权组合仍然与他们集成之前的每个接近关系一致。

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