主流识别的多准则决策模型及其在河系结构化中的应用

在河系拓扑数据的基础上建立两种面向河系空间知识的数据模型:基于河段的数据模型和基于河流实体的数据模型.将多准则决策中的最大隶属度带权平均规划法用于河系各级主流的识别,该方法考虑主流选取中的各种因素,并将各因素的重要性用权向量的形式表示出来.还提出一种基于主流识别的河系结构化方法,将河系结构化的过程看作是确定各级主流的不断重复迭代的过程.最后将主流识别方法用于河系结构化中,并获取了进一步的树结构信息.实验证明,该方法在实用性和准确性方面都能达到满意的效果.

A Multi-criteria Decision Model for Identifying Master River and Its Application in River System Construction

Identifying of master river virtually is a process of selecting the river, which is the most appropriate to be master river from the total drainage. In this paper, on the basis of topological data of river system, two kinds of spatial knowledge data models are put forward, data model based on link and data model based on river entity. The approach of multiple criteria decision is utilized to identify the master river of each level among the river system. This method considers every factor in master river selection and utilizes weight vector to express the factors' significance. Meanwhile, a river system construction method based on master river identification is described. This method regards the process of river constructing as a iterative way to select each level's master river, then utilizes the master river identification method in river system construction. The result indicates the method can reach a satisfying effect on practicability and veracity.