不确定拓扑关系模糊推理

Research on the model of uncertain topological relation reasoning based on topological composition table

针对定性空间推理难以处理不确定空间拓扑关系推理的缺憾,将确定拓扑关系复合表推理方法扩展到模糊拓扑空间,建立了基于拓扑关系复合表的不确定拓扑关系模糊推理模型,设计了基于RCC5的拓扑关系复合表的模糊推理规则库和推理的方法流程,并结合具体计算实例对模糊推理模型进行了实验研究,推理结果验证了模型的认知合理性和可行性。

Since the existed qualitative spatial reasoning model for topological relations is incompetent for uncertain spatial topological relation reasoning, a novel model for uncertain topological relation reasoning is constructed based on the topological relation composition table of the RCCS, where the qualitative reasoning method is extended into the fuzzy domain, and the Mamdani fuzzy reasoning method is adopted. The reasoning rule base is created, meanwhile the reasoning workflow is designed in the paper. And then a case study are taken, the results show that the model is cognitive rationality and useful for uncertain spatial topological reasoning.