空间目标不确定性的表达方法及其在GIS中的应用分析

Representation Methods of Spatial Objects with Uncertainty and Their Application in GIS

分析了地理空间目标不确定性的特征和产生机理,建立了空间目标不确定性的分类体系。在此基础上,从方法论的角度分别阐述了处理空间目标不确定性的数学方法,给出了各种数学方法的联系和区别。最后,通过一个实例验证了不同的表达方法可得到不同的结果。

This paper investigates the causes and origins of uncertainties in spatial objects and their classifications. Then, several mathematical tools including fuzzy set theory, rough set theory and cloud theory are presented to handle these uncertainties. Later on, the linkages between these theories are further explored and a unified representation based upon the cloud theory is proposed. A practical example of a river with different water levels is provided to illustrate the usefulness of the methods proposed.