然而，这是一个有争议的理论，一些学者根据他们对相关数据的解读，对此抱有怀疑态度。
However, this is a contentious theory and such claims have been treated skeptically by some scholars based on their reading of the relevant data.
第一章是导论，它包括问题的提出，研究角度及相关理论介绍，然后是数据收集及统计方法介绍。
The first chapter is a brief introduction, including the proposal of the problem, the research angle, relevant concepts, the means of data collection and research methods.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
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