Rough set theory is a new mathematic approach to uncertain and vague data analysis.
粗集理论是一种新的处理含糊和不确定性问题的数学工具。
Rough Set Theory is a new mathematical approach to uncertain and vague data analysis. It is, no doubt, one of the most challenging areas of modern computer applications.
作为处理不确定和含糊问题的新的数学方法，粗糙集理论对于现代计算机应用，无疑是最具挑战性的领域之一。
Rough Set is a tool to deal with vague and uncertain data, therefore it becomes an important frame in DM.
粗集是一种处理模糊和不确定性数据的工具，因而成为数据挖掘中的重要框架。
We model the vague constraints and uncertain data by fuzzy set theory.
我们模型的模糊和不确定的制约因素数据的模糊集理论。
Rough set theory is a newly-emerging mathematical tool to deal with vague and uncertain knowledge, which can analyze the rule hidden in the data without any additional information.
粗糙集理论是一种新型的处理含糊和不确定性知识的数学工具，它能够分析隐藏在数据中的事实，且不需要关于数据的任何附加知识。
RS doesn't depend on additional information beyond the data set, which is a potent tool for dealing with vague, imprecise, incomplete and uncertain data, and is a new technology in Data Mining.
它不依赖于数据集之外的附加信息，是处理含有噪声、不精确、不完整数据的有力工具，是一种新的数据挖掘技术。
RS doesn't depend on additional information beyond the data set, which is a potent tool for dealing with vague, imprecise, incomplete and uncertain data, and is a new technology in Data Mining.
它不依赖于数据集之外的附加信息，是处理含有噪声、不精确、不完整数据的有力工具，是一种新的数据挖掘技术。
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