基于模糊理论的时空数据模型及算法解决

Fuzzy Theory Based Spatiotemporal Data Model and Algorithm Solution

针对当前时空数据模型中存在的主要问题,本文提出了一种基于模糊理论的时空数据模型。该模型从时空对象演化的角度出发,结合模糊隶属度的概念,力求精确表达对象演化的整个过程及对象之间的相互关系。在此基础上,进一步分析了该模型的数据结构以及算法解决,为时空数据模型的研究提供了新的思路。

Aiming at the main problems of current spatiotemporal data models, a fuzzy theory based spatiotemporal data model is proposed in this paper. Starting from the angle of spatiotemporal object evolution, this model strives to express the whole process of spatio- temporal object evolution precisely and the interrelationship among objects. Based on this,it further analyzes the data structure and algorithm solution of this model, providing new thoughts for the research of spatiotemporal data model.