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THE APPLICATION RESEARCH OF KNOWLEDGE DISCOVERY TECHNIQUES BASED ON ROUGH SET IN DECISION SUPPORT

机译:基于粗糙集的决策支持基于粗糙集的知识发现技术的应用研究

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With the application and development of science and technology, the tremendous amount of spatial and nonspatial data have been stored in large spatial data bases. Analysing them for decision is badly in need of spatial data mining and knowledge discovery to provid knowledge. In recent years, some efforts in knowledge discovery have focused on applying the rough set method to knowledge discovery. In this paper, the application of knowledge discovery method based on rough set in land use decision support system is discussed. First the characteristic and development of knowledge discovery method based on rough set are briefly stated. Second, the characteristic of spatial data in GIS is discussed. Third, a knowledge discovery method based on rough set is put forward in land use decision support system. The procedures for this method, the algorithm and key matters are also analyzed. Finally, rules extracted by the method shows a good result. This method has solved the problem of obtaining the decision rule in DSS effectively.
机译:随着科学技术的应用和发展,巨大的空间和非缺点数据已经存储在大型空间数据库中。分析它们的决定是严重的,需要空间数据挖掘和知识发现来提供知识。近年来,知识发现的一些努力侧重于将粗糙集法应用于知识发现。本文讨论了基于土地利用决策支持系统粗糙集的知识发现方法的应用。首先,简要阐述了基于粗糙集的知识发现方法的特征和发展。其次,讨论了GIS中空间数据的特征。第三,在土地利用决策支持系统中提出了一种基于粗糙集的知识发现方法。还分析了该方法的过程,算法和关键问题。最后,方法提取的规则显示出良好的结果。这种方法解决了有效地获得了DSS中的决策规则的问题。

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