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中文摘要：
针对IADFCM算法在运算过程中忽略区间中点和半宽对区间数分析的问题，给出基于中点、半宽含权重区间数间的欧氏距离，提出一种改进的聚类分析算法，对模拟数据集和实际数据集分别进行仿真实验，实验结果表明，该算法是有效的。
英文摘要：
Aiming at the problems that it ignores the different effect which the median and wide of interval play on the analysis of interval number, this paper presents a new measure of distance based on the median and wide of interval with different weight. On basis of this, a revised clustering algorithm is proposed. The experiments of the simulative and practical datasets are made by this algorithm and IADFCM. Experimental results indicate this algorithm is effective.
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