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About one approach to the development of fuzzy OLAP cube in decision making support system in the sphere of foreign policy

机译:关于外交政策领域决策支持系统中模糊OLAP多维数据集开发的一种方法

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This paper presents the fuzzification process on the data warehouse attribute of decision making support system in the sphere of foreign policy, as the result of which the fuzzy OLAP-cube is obtained. For this purpose, comparative analysis of clustering algorithms was fulfilled, and then selected algorithm CLARANS was applied in clustering the warehouse attributes, using medoids obtained as the result of clustering, the values of membership functions were derived.
机译:本文提出了外交政策领域决策支持系统的数据仓库属性的模糊化过程,得到了模糊OLAP多维数据集。为此,对聚类算法进行了比较分析,然后将选择的算法CLARANS应用于仓库属性的聚类中,利用聚类的结果获得的类固醇,推导出隶属函数的值。

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