This is a technique that applies a grouping of data on specified elements common to two data sources and then evaluates additional data elements for a level of commonality or distinctness.

这种技术在两个数据源公共的指定元素上对数据进行分组，然后估计其他数据元素的相同程度或差异程度。

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Tested by experimental data from literatures, the computed system built in this paper is proved to be of good commonality, and the computational mistake is around 20%.

经文献中的实验数据考核比较，本文所编制的设计计算系统具有较好的通用性，计算值偏差在士20%左右。

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