With filename(s) specified, we print out representations of the named XML file(s) after performing namespace setup, thereby maintaining rough backward compatibility with older versions of the tool.
根据指定的文件名，在执行了名称空间设置后，我们打印出指定的XML文件的表示，从而大致上保持了对此工具稍老版本的向后兼容。
This tool, though still pretty rough, allows developers to view their Azure queues, blobs, and tables.
这个工具，还有点粗糙，只允许开发人员查看他们的Azure队列、Blobs和数据表。
Each tool option calculates a rough estimate of the bytes consumed.
每个工具选项都粗略估算占用的字节数。
This tool will parse a header file and generate a rough definitions file.
该工具将解析头文件并生成粗略的定义文件。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
Rough Set is a new mathematical tool to deal with fuzzy and uncertain knowledge. It has strong knowledge obtaining ability.
粗糙集理论是一种处理模糊和不精确知识的数学工具，它具有很强的知识获取能力。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
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。
Rough sets theory is emerging as a powerful tool as inducing knowledge classification knowledge from database.
粗合集合理论现在已成为数据库知识分类的一种强有力的工具。
Rough set theory is a novel mathematical tool dealing vagueness and uncertainty.
粗糙集理论是处理模糊和不确定性问题的新的数学工具。
Rough sets theory is a new mathematical tool to deal with problems on vagueness and uncertainty.
粗糙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, 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。
Rough set as a classify theory of data mining is a strong mathematic tool dealing with uncertainty and incompleteness, and it can overcome the difficulty in getting knowledge existed before.
粗糙集作为数据挖掘方法的一种，是一种处理不精确或不完整信息的强有力数学工具，并且可以克服以往存在的知识获取瓶颈。
Rough set theory, proposed in early 1982, is a new mathematical tool in dealing with imprecision and uncertainty.
粗糙集理论是1982年提出的一种处理模糊和不确定知识的数学工具。
Rough Set Theory is another mathematical tool used for dealing with fuzzy and uncertain knowledge besides Probability Theory, fuzzy Set Theory and Evidence Theory.
粗集理论是继概率论、模糊集、证据理论之后的又一种处理模糊和不确定性知识的数学工具。
Rough set theory is a newly developed mathematical tool for dealing with uncertain knowledge.
粗糙集理论是一种新型的处理不确定性知识的数学工具。
Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and data mining.
粗糙集理论是一种新的处理模糊和不确定性知识的数学工具，在人工智能及数据挖掘等众多领域已经得到了广泛的应用。
Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and cognitive science.
粗糙集理论是一种新的处理模糊和不确定性知识的软计算工具，在人工智能及认知科学等众多领域已经得到了广泛的应用。
Rough set theory that is a mathematical tool to deal with vagueness under uncertainty can be used widely.
粗糙集理论是一种处理含糊和不精确性问题的一种新型数学工具，得到了广泛应用。
Practice has proven tool radius compensation in the rough, finishing in the semi-fine and practical, and the size of precision machining parts, components can also be completed on the burr removal.
实践证明刀具半径补偿在粗、半精和精加工中切实可行，且符合零件加工尺寸精度要求，同时还可以完成零件上毛刺的清除。
Based on the geometry characteristic and processing technique of centrifugal compressor impeller, the tool path of rough and finish machining are scheduled.
分析了离心压气机叶轮的几何结构特点、加工工艺，并在此基础上规划了叶轮的粗、精加工刀具轨迹。
Rough Set theory is a kind of new tool for dealing with vagueness and uncertainty of knowledge.
粗糙集理论是一种处理模糊、不确定知识的工具。
Tolerance relation is an effective tool in patulous rough set theory to deal with incomplete information systems.
在扩充粗糙集理论中，容差关系是一种处理不完备信息系统的工具。
As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.
粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。
The famous rough set is useful tool to solve the problem of ambiguity, complexity, random city and less distinguish ability.
粗糙集是解决模糊性、随机性、复杂性和不可分辨性问题的有效工具。
Rough sets as a new mathematical tool to deal with the fuzzy and uncertain knowledge. It has important practical significance to use it in intrusion detection.
粗糙集作为一种新兴的处理模糊和不确定性知识的数学工具，将其应用在入侵检测中具有重要的现实意义。
Fuzzy rough set theory is an effective tool for reduction of data dimension, but there are few dimension reduction algorithms that are based on fuzzy rough set theory so far.
模糊粗糙集理论是解决数据集维数问题的有效工具，但基于模糊粗糙集的降维算法还不多。
Rough set theory is a mathematical tool to deal with incomplete and uncertain knowledge, it can reduce knowledge under maintained the same classification ability of decision table.
粗糙集理论是一种处理不完整性和不确定性知识的数学工具，能够在保持决策表分类能力不变的情况下，进行知识的约简。
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。
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。
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