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Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques

机译:规则与层次结构:模糊集理论在空间分组技术评估中的应用

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The geography which underpins the collection of Australian economic and social data is based on administrative areas, rather than having behavioural significance. Within most EU countries Coombes' rules-based grouping algorithm [1] which uses commuting flow data has been employed to construct Travel to Work Areas, but other approaches including Intramax (a hierarchical technique) have also been utilised. Recent developments in fuzzy set theory have enabled the comparison of the local accuracy of the solutions associated with different grouping methods. This paper will utilise both the Intramax technique and the modified version of Coombes' updated algorithm [2] to compare the properties of the solutions associated with grouping the Australian Statistical Local Areas using Journey to Work data from the 2006 Census.
机译:构成澳大利亚经济和社会数据收集基础的地理区域基于行政区域,而不具有行为意义。在大多数欧盟国家中,已经采用了Coombes的基于规则的分组算法[1],该算法使用通勤流量数据来构建“工作区旅行”,但是还采用了其他方法,包括Intramax(分层技术)。模糊集理论的最新发展使得能够比较与不同分组方法相关联的解决方案的局部精度。本文将利用Intramax技术和Coombes更新算法的改进版本[​​2]来比较与使用2006年人口普查中的“工作之旅”数据对澳大利亚统计局区域进行分组相关的解决方案的属性。

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