根据人类对模糊空间关系的认知层次性特点,将不确定拓扑关系的表达归结为求解不确定空间关系实例与基本拓扑关系概念之间的隶属度。基于贴近度分析的基本方法建立不确定地理目标之间空间拓扑关系模糊表达模型方法。结合具体的算例说明基于该模型方法的拓扑关系模糊表达推算过程,并通过与经典的Egg—Yolk以及宽边界模型方法表达的拓扑关系表达结果进行对比分析,验证模型的合理性。
Based on the hierarchical cognition of human being on uncertain spatial relationships, the representation of indeterminate topological relationships can be transformed into calculating the membership between topological relationships instance and the basic topological relation predicates. Then the topological relation model for indeterminate geographical objects is constructed based on fuzzy close-degree analysis. The workflow of computation of fuzzy topological relation is worked out. At the end a case study is implemented, and the results are compared with the results gotten by Egg-yolk model and Broad boundary model, which illustrates that the model is reasonable and viable.