Computing the Probabilities of Operations in Vector Models for Uncertain Spatial Data

Erlend Tøssebro, M. Nygård
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引用次数: 2

Abstract

Many papers on modeling uncertain or fuzzy spatial data are based on probability functions or fuzzy set functions. However, few of them specify how to actually compute these in a real system. This paper presents a way to use Delaunay triangulations to compute the values of such functions for uncertain spatial objects represented in a vector model. The paper also contains an algorithm that uses this Delaunay triangulation to compute the probability that two uncertain regions intersect.
计算不确定空间数据矢量模型的操作概率
许多研究不确定或模糊空间数据建模的论文都是基于概率函数或模糊集函数。然而,很少有人指定如何在实际系统中实际计算这些。本文提出了一种使用Delaunay三角剖分来计算向量模型中表示的不确定空间对象的这些函数值的方法。本文还提出了一种利用Delaunay三角剖分法计算两个不确定区域相交概率的算法。
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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