模糊数据库中的功能依赖关系

M. Nakata
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引用次数: 8

摘要

基于可能性度量和必要性度量,将具有相似关系和权重的功能依赖表述为模糊关系数据库中完整性约束的组合。每个元组值都具有与功能依赖项的必要性和可能性的兼容性程度。元组是否满足功能依赖是通过与成员属性值的兼容程度的比较来确定的。我们的公式不包含任何参数。我们在功能依赖的两种解释下研究推理规则。在使用哥德尔蕴涵对应的解释下,Armstrong的推理规则对于任何没有权值的功能依赖都是健全完备的,扩展的Armstrong推理规则对于任何有权值的功能依赖都是健全完备的。另一方面,在使用Diens蕴涵所对应的解释下,Armstrong的推理规则对于有单位关系和没有权值的功能依赖是健全完备的,扩展的Armstrong推理规则对于有单位关系和权值的功能依赖是健全完备的。然而,Armstrong的推理规则及其扩展推理规则分别对于有相似关系和没有权值的函数依赖和有相似关系和权值的函数依赖是不健全的。在这些情况下,另一组合理的推理规则成立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional dependencies in fuzzy databases
Functional dependencies, which have resemblance relations and weights, are formulated as being composed of integrity constraints in a fuzzy relational database based on possibility and necessity measures. Each tuple value has a compatibility degree of necessity and possibility with a functional dependency. Whether a tuple satisfies the functional dependency is determined by the comparison of the compatibility degree with the value of the membership attribute. Our formulation does not contain any parameters. We examine inference rules under two interpretations of functional dependencies. Under the interpretation corresponding to using Godel implication, Armstrong's inference rules are sound and complete for any functional dependency with no weights, and the extended Armstrong inference rules are sound and complete for any functional dependency with weights. On the other hand, under the interpretation corresponding to using Diens implication, Armstrong's inference rules are sound and complete for functional dependencies with identity relations and no weights, and the extended Armstrong inference rules are sound and complete for functional dependencies with identity relations and weights. However, Armstrong's inference rules and their extended inference rules are not sound for functional dependencies with resemblance relations and no weights and for those with resemblance relations and weights, respectively. In these cases, another set of sound inference rules holds.
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