Providing support for multiple collection types in a fuzzy object oriented spatial data model

A. Morris, James Foster, F. Petry
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引用次数: 8

Abstract

Fuzzy set approaches are particularly suitable for issues of modeling uncertainty in spatial data. Previous work of the authors describes a framework to support uncertainty by using an object-oriented approach to modeling spatial data. The original research focused on how to incorporate spatial data into a fuzzy object model. This paper expands upon that by discussing the implications of incorporating all collection types described in the ODMG object database standard in this framework. In addition, we will look at how future collection types may be incorporated into the framework.
在面向模糊对象的空间数据模型中提供对多种集合类型的支持
模糊集方法特别适用于空间数据的不确定性建模问题。作者以前的工作描述了一个框架,通过使用面向对象的方法对空间数据建模来支持不确定性。最初的研究集中在如何将空间数据纳入模糊对象模型中。本文通过讨论将ODMG对象数据库标准中描述的所有集合类型合并到该框架中的含义,对此进行了扩展。此外,我们将研究如何将未来的集合类型合并到框架中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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