Modeling data using fuzzy attributes

Angélica Urrutia, José Galindo, M. Piattini
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引用次数: 13

Abstract

We present a proposal for the application of fuzzy logic to conceptual modeling as an extension to the EER model. In order to do this, we extend some EER components to fuzzy ERR and we propose a notation for fuzzy representations, such as fuzzy values in the attributes, the degree in each value of an attribute and the degree in a set of values of diverse attributes, as well as fuzzy entities treated as a degree in all the instances of the entity. In the case of the degrees we have found that these may have a different meaning to that which we are trying to represent.
使用模糊属性建模数据
我们提出了将模糊逻辑应用于概念建模的建议,作为EER模型的扩展。为了做到这一点,我们将一些EER组件扩展到模糊ERR,并提出了模糊表示的表示法,例如属性中的模糊值,属性中每个值的程度和不同属性的一组值的程度,以及在实体的所有实例中作为程度处理的模糊实体。在度的情况下,我们已经发现,这些可能有一个不同的意义,我们试图表示。
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