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Application of Fuzzy Clustering Method in Classifying Steel Companies

机译:模糊聚类法在钢铁公司分类中的应用

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In modern society, steel companies have played great role in economic construction. This paper makes use of fuzzy clustering approach as an important mathematic tool to classify steel companies according to some general financial indexes, such as ratio of operating income, ratio of stockholder''s equity and current ratio. By constructing and normalizing initial partition matrix, getting fuzzy similar matrix with Minkowski metric and gaining the transitive closure, the dynamic fuzzy clustering analysis for steel companies is shown clearly that different clustered result change gradually with the threshold reducing. It has a great value on many things, such as contrasting steel companies'' financial condition in order to grasp the chance of investment.
机译:在现代社会中,钢铁公司在经济建设中发挥了重要作用。本文将模糊聚类法作为一种重要的数学工具,根据营业收入比率,股东权益比率和流动比率等一般财务指标对钢铁公司进行分类。通过构造和归一化初始分配矩阵,用Minkowski度量获得模糊相似矩阵并获得传递闭包,钢铁企业的动态模糊聚类分析清楚地表明,随着阈值的减小,不同聚类结果逐渐变化。它在很多方面都具有很大的价值,例如对比钢铁公司的财务状况以掌握投资机会。

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