区域模糊综合评价中的空间隶属度尺度转换分析

Spatial Scale Analysis of the Fuzzy Coverage for Spatial Fuzzy Comprehensive Assessment Based on GIS

本文在现有研究基础上,提出了应用于区域综合评价的空间模糊综合评判法,在此算法过程中,一个关键过程就是要把不同评价单元的单因子隶属度综合到统一的研究单元上,这个过程在GIS中是一个数据格式的转换,但在实际研究中,也是研究尺度的转换。本文在提出空间模糊综合评判法的基本思想的基础上,对该方法的关键问题——空间隶属层的形成原理进行阐述,重点分析了依附于空间数据的隶属度在研究尺度上的转换过程,认为其是由矢量数据统计单元向栅格数据统计单元转换的向下转换过程,并在GIS软件的支持下,进行了此转换过程的实现。确定了"隶属层"的概念,并更新了隶属层支持下的空间模糊综合评判模型,最终使得空间模糊综合评判算法得以实现。

This paper formulated a method of spatial fuzzy comprehensive assessment based on GIS. For spatial fuzzy comprehensive assessment method, the ＂fuzzy coverage＂ was the most important factor. The formulation process of the fuzzy coverage was a transform process from vector data to raster data, in other words, was a transform process from a big spatial scale to smaller one. So this paper analyzed this process, then introduced how to get the fuzzy coverage based on GIS in detail, and expounded the comprehensive calculation process based on the fuzzy coverage.