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LES DEPENDANCES DIFONCTIONNELLFS FLOUES

机译:模糊的依赖关系

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Jaoua and al .proposed an application of difunctional relations in the relational data model, namely difunctional dependencies. They proposed a set of inference rules for functional dependencies and a binary decomposition approach of a relation without loss of information. Integrity constraints, especially fuzzy functional and multivalued dependencies, have been widely studied in various extended relational data models. In this paper, we propose an extension of difunctional dependencies in the framework of fuzzy relational database, in which every fuzzy relation is a set of weighted tuples. We define and characterize the fuzzy difunctionality concept, and we show that inference rules applied in the classic case remain valid in the case of fuzzy relation which allows a introduce a hierarchical decomposition approach of a fuzzy relation which allows a better clustering of data and reduces their storage space by a particular inheritance mechanism.
机译:Jaoua等人提出了双功能关系在关系数据模型中的应用,即双功能依赖。他们提出了一组功能依赖关系的推理规则,以及一种不损失信息的关系的二进制分解方法。完整性约束,尤其是模糊功能和多值依赖关系,已在各种扩展的关系数据模型中得到了广泛研究。在本文中,我们提出了在模糊关系数据库框架中对双功能依赖项的扩展,其中每个模糊关系都是一组加权元组。我们定义并刻画了模糊双功能性概念,并证明了在经典情况下应用的推理规则在模糊关系的情况下仍然有效,这允许引入模糊关系的分层分解方法,从而可以更好地对数据进行聚类并减少数据的聚类。通过特定的继承机制存储空间。

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