In this paper, a scalable and distributed dynamic interval mapping algorithm supporting weight allocation is proposed.

提出一种支持权重分布数据的可伸缩分布式动态区间映射算法。

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Using fuzzy aggregation theory and rough set theory, this article puts out a weight allocation method based on impersonal message entropy.

借助模糊聚类技术和粗糙集理论提出了一个基于客观信息熵的多因素权重分配方法。

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The coefficients of weight in this model are derived from the avail value of data reflecting the information entropy, by this method the problem of weight allocation can be avoided.

引用信息熵所反映数据本身的效用值来计算指标的权重系数，有效地避免了权重分配困难的问题。

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