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Application research of rough sets in the multi-elemental cooperative spatial analysis

机译:粗糙集在多元协同空间分析中的应用研究

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Multi-elemental cooperative analysis can not only brings a large number of relevant information but fuzz up key elements, so valid data excavating tools are needed to find element information which influences entities the most. Based on the sample of bus site setting in a city, this paper employs Rough Sets method to analyze multi-elemental cooperation which influence bus site grade and calculate importance of each element. Thus, multi-elemental cooperative analysis can be realized. Compared with conventional multi-parameter analysis, this method based on data self-adapting is intelligent, high-efficiency and have no use for manual intervention.
机译:多元协作分析不仅可以带来大量的相关信息,而且可以使关键要素模糊不清,因此需要有效的数据挖掘工具来寻找对实体影响最大的要素信息。基于某城市公交站点设置的样本,本文采用粗糙集方法对影响公交站点等级的多要素合作进行分析,并计算出各个要素的重要性。因此,可以实现多元素协作分析。与传统的多参数分析相比,这种基于数据自适应的方法智能,高效,无需人工干预。

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