The method proposed does not require a change in the size of the original incomplete data set, and has higher efficiency of computing reduction.
该方法不需要改变原始不完备故障诊断决策表的规模，且具有更高的约简计算效率。
Rough set theory, a powerful tool to deal with incomplete information, has been widely used in the area of artificial intelligence, especially in data mining and knowledge discovery.
粗糙集理论作为一种处理不完备信息的有力工具，已广泛应用于人工智能的许多领域，特别是数据挖掘和知识发现领域。
In the Decision Support System the application of Rough Set could analyze, infer to the incomplete data and pick-up useful character, simplify information processing, and get conclusion in the end.
应用粗集理论可以在决策支持系统中对不完备数据进行分析、推理，提取有用特征，简化信息处理，得出肯定结论。
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。
To obtain knowledge and data from incomplete decision table(IDT), the paper presents a new doubly variable precision limited tolerance rough set theory model(VPLTRST).
为了能够从不完备决策表（IDT）中进行知识发现和数据挖掘，提出一种新的具有对称性的双重可变精度限制容差关系粗集模型（VPLTRST）。
The main contents include the approximation set, decision systems, data preprocessing and attribute reduction and so on. It is a effective method of dealing with incomplete, inaccurate data.
其主要内容包括近似集、决策系统、数据预处理以及属性约简等等，是一种处理不完整，不精确数据的有效方法。
Absrtact: Rough set theory is a new mathematical tool to research imprecise and incomplete data.
摘要：粗糙集是用来处理不确定、不完备数据的重要工具之一。
The rough set theory is a new mathematical tool to deal with imprecise, incomplete and inconsistent data.
粗糙集理论是一种新的处理不精确、不完全与不相容知识的数学工具。
Rough set theory is a new mathematical tool to deal with imprecise, incomplete and inconsistent data.
粗糙集理论是一种新的数学工具来处理不精确，不完整和不一致的数据。
Based on an incomplete data analysis method of the rough set theory and the distinguish matrix, bring forward an improved ROUSTIDA algorithm.
基于粗糙集理论的不完备数据分析方法，以可辨识矩阵作为算法的基础，提出了一种改进的不完备数据分析方法。
Based on an incomplete data analysis method of the rough set theory and the distinguish matrix, bring forward an improved ROUSTIDA algorithm.
基于粗糙集理论的不完备数据分析方法，以可辨识矩阵作为算法的基础，提出了一种改进的不完备数据分析方法。
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