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Uncertainty management for spatial data in databases:fuzzy spatial data types

机译:数据库中空间数据的不确定性管理:模糊的空间数据类型

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In many geographical applications there is a need to model spatial phenomena not simply by sharply bounded objects but rather through vague concepts due to indeterminate boundaries.Spatial database ssytems and geographical information systems are currently not able to deal with this kind of data.In order to support these applications,for an important kind of vagueness called fuzziness,we propose an abstract,conceptual model of so-called fuzzy spatial data types (i.e.,a fuzzy spatial algebra) introducing fuzzy points,fuzzy lines,and fuzzy regions.This paper focuses on defining their structure and semantics.The formal framework is based on fuzzy set theory and fuzzy topology.
机译:在许多地理应用中,不仅需要通过边界明确的对象来建模空间现象,还需要通过边界不确定的模糊概念来建模。空间数据库系统和地理信息系统目前无法处理此类数据。为了支持这些应用程序,对于模糊性的一种重要模糊性,我们提出了一种抽象的概念模型,即所谓的模糊空间数据类型(即模糊空间代数),其中介绍了模糊点,模糊线和模糊区域。形式框架基于模糊集理论和模糊拓扑。

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