然而电子商务中所搜集到的客户信息往往具有海量、高维度和不完备等特点，如何对其正确、高效地分类是一个难题。

However, customers' information collected in e-commerce is always huge, multi-dimension and incomplete, how to classify the information properly and efficiently is a hard problem.

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粗糙集理论能有效地分析和处理不精确、不一致和不完整等各种不完备信息，并能从中发现隐含的知识，揭示潜在的规律。

The rough set theory can effectively analyze and deal with imprecise, incomplete, inconsistent and incomplete information, etc., and can find hidden knowledge, revealing the potential of knowledge.

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