The rough set approach is an important tool to deal with uncertain or vague knowledge.
粗糙集方法是一种处理不确定或模糊知识的重要工具。
The positive study indicates that using rough set approach to choose regional logistics centers proves to be effective.
实证研究表明，用粗糙集方法选择区域物流中心，不失为一种有效的方法。
Through utilization of the rough set approach, the number of image features is significantly reduced, the structure of system reduced, and then the running speed improved.
通过运用粗集方法，能有效地减少图像的特征数目，简化系统结构，提高运行速度。
In this paper, with respect to the ordinal variables, the definitions of attribute reduction of dominance-based rough set approach in ordered information systems and ordered decision tables are given.
针对有序尺度变量，给出了有序信息系统与有序决策表在优势关系下的粗糙集约简定义；
Rough set theory is a new mathematical approach to deal with vagueness and uncertainty.
粗糙集理论是一种处理模糊和不确定性问题的新的数学方法。
In the paper, we make a new inductive learning approach to knowledge representation system based on rough set theory.
本文基于粗集理论，针对知识表达系统提出了一种新的归纳学习方法。
Based on rough set theory, a rule inference approach of integrating the importance of attributes with the emergence frequency of attribute value is proposed.
提出一种基于粗集理论的，把属性的重要性和属性值的出现频率综合起来进行规则推理的方法。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
Then, the data mining approach to the cause of the crack is presented using rough set theory, the rule of the cause of the crack is extracted, and the main cause of the crack is analyzed.
据此提出了裂缝成因挖掘的粗集方法，对裂缝成因的潜在规律性和裂缝的主要成因进行挖掘，分析裂缝产生的主要原因。
A new decision-making approach that rough set is applied to CBR is proposed to fulfill an on-line knowledge self-learning process.
因此将粗糙集应用于基于案例推理，提出基于粗糙案例推理的在线自我学习决策方法。
According to vibration characteristic spectrum, a gas turbogenerator fault diagnosis approach based on rough set theory is proposed.
本文以振动特征频谱为依据，提出了一种基于粗糙集理论的燃气轮发电机组故障诊断新方法。
Because the rough set theory is suitable for handling uncertain information, we propose a new approach to accessing VANETs based on the rough set theory.
针对粗糙集理论适于处理不确定性信息的特点，本文提出了一种基于粗糙集理论的VANET接入方法。
This paper presents a rough set theory based approach for fault diagnosis of valves in reciprocating pumps.
提出了一种基于粗集理论的往复泵泵阀故障诊断方法。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aimed at overcoming shortages of some current knowledge attaining methods.
基于粗糙集数据挖掘理论的汽轮机故障预测和诊断，提出了一种新的方法，旨在克服现有的一些实现方法的知识短缺。
A rough rules mining approach based on variable precision rough set theory is proposed in this paper.
提出了一种基于变精度粗糙集理论的规则挖掘算法。
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 modeling method is a new and important method in the welding process modeling. In this method, discretization is a necessary and important approach.
粗糙集建模方法是一种新的且重要的焊接过程建模方法，离散化是粗糙集建模方法中一个必要且重要的步骤。
Presents a new decision rule acquisition algorithm based on rough set and a practical decision rule presentation approach.
提出了一种基于粗糙集理论的决策规则获取算法及实用的决策规则表示方法。
Rough set is a mathematical approach to study imprecise, uncertain or incomplete information or knowledge.
粗糙集是研究不精确性、不确定性、不完整性现存信息或知识的数学工具。
A new approach rough set-based for ordering rules acquisition in interval valued decision table is presented.
提出一种基于粗糙集的区间值属性决策表的有序规则获取方法。
We propose a new approach to multivariate decision tree construction based on knowledge roughness in rough set instead of information entropy as usual.
提出了一种基于粗糙集中知识粗糙度的构建多变量决策树的算法。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aiming at overcoming shortages of some current knowledge attaining methods.
针对当前专家系统知识获取瓶颈的难题，提出了基于粗糙集数据挖掘的汽轮机故障预报及诊断方法。
This paper employs the rough set theory to deal with the problem. Using decision table as a tool, the approach can extract diagnosis rules from the set of fault samp…
提出的方法以决策表作为主要工具，直接从故障样本集中导出诊断规则，并揭示了警报信息内在冗余性。
This paper employs the rough set theory to deal with the problem. Using decision table as a tool, the approach can extract diagnosis rules from the set of fault samp…
提出的方法以决策表作为主要工具，直接从故障样本集中导出诊断规则，并揭示了警报信息内在冗余性。
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