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。
To a certain extent, the algorithm can resolve the attribute reduction problem of abnormal decision tables and extend application of rough set theory.
该算法在一定程度上能够解决非常规决策表的属性约简问题，进一步扩展了粗糙集理论的应用范围。
A method of compressor fault diagnosis based on rough set theory is proposed.
论述了将粗集理论应用于压缩机故障诊断的方法。
It selects the main factors that affect the airflow stability by rough set theory.
该方法首先应用粗糙集理论来选择影响风流稳定性的重要因素。
Proposed an algorithm of attribute reduction based on attribute importance of rough set.
提出一种基于粗糙集属性重要性的属性约简算法。
This article applies the generalized covering rough set theory to information retrieval model.
将广义覆盖粗糙集理论及其计算运用到信息检索模型。
In this paper, a new extension of rough set based on modified tolerance relation is presented.
提出了一种基于修正容差关系的扩充粗糙集模型。
Both rough set theory and evidence theory are the math tools for dealing with uncertain knowledge.
粗糙集理论与证据理论都是处理不确定性知识的数学工具。
The process of attribute reduction is analyzed in assembly knowledge discovery based on rough set.
分析了基于粗糙集理论的装配知识发现中属性归约的过程。
This paper introduces a method for mining risk rules using variable precision rough set (VPRS) model.
文章介绍了利用变精度粗糙集进行风险规则挖掘的一种方法。
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。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
结合粗糙集和模糊神经网络提出了一种粗糙模糊神经网络识别器的模型。
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。
This tactics carry out data compaction on data samples and extract initial diagnostic rule by using rough set theory.
该策略利用粗糙集理论对数据样本进行数据浓缩，提取初步的诊断规则。
A reduction algorithm based on rough set is improved and then applicated to extract the rules of text categorization.
改进了一种粗糙集决策表的值约简算法，并将其应用到文本分类规则的提取中。
Based on rough set and mathematic statistics theories, the state evaluation model for mine ventilation system is proposed.
提出了一种基于粗糙集和数理统计理论的矿井通风系统状态评估模型。
A rough set based data mining system named RSDMS is put forward and realized after the analysis of algorithms in rough set.
在分析了粗集的各种算法之后提出并实现了一个基于粗集的数据挖掘系统RSDMS。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
As the extension of rough set, variable precision rough set reflects the difference of degrees of overlap of kinds and sets.
而可变精度粗糙集作为对经典粗糙集理论的扩展，体现了等价类与集合的重叠度程度上的差别。
This paper discusses a new intelligent control method called rough control, and presents the basic concepts of rough set theory.
本文讨论了一种新型的智能控制方法—粗糙控制，介绍了粗糙集合理论的基本概念。
In this paper, we discuss rough set approximation under granulation, and establish positive approximation under dynamic granulation.
本文讨论了粒度意义下的粗糙集近似，并定义了动态粒度下的正向近似。
A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information.
提出了一种基于粗集的缺省规则挖掘模型，以利于在信息不完备情况下进行推理和决策。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
针对协同过滤中的数据稀疏问题，提出了一种基于粗集的协同过滤算法。
On the basis of introducing the rough set theory, the method and technique of fault diagnostic knowledge acquisition based on rough set is discussed.
介绍了粗糙集理论用于诊断知识获取的理论基础，阐述了基于粗糙集理论的故障诊断知识自动获取的方法和技术。
The prime concept of software testing is presented, then introduces the prime concept of rough set theory and the data reduction method based on rough set.
文中首先阐述了软件测试相关的基本概念，然后介绍了粗糙集理论基本概念和基于粗糙集理论的数据约简。
So it enlarges the application area of rough set theory and provides a new method for modeling in welding area, and has a large potential of wide application.
该方法拓展了粗糙集理论的应用领域，并为焊接建模提供了一种新方法，具有较大的应用潜力。
Reduction and core are two important concepts in rough set theory, while computing reductions and core according to the definitions directly is a typical NP problem.
约简与核是粗糙集理论的两个重要概念，而直接由定义来计算约简与核是一个典型的NP难题。
Reduction and core are two important concepts in rough set theory, while computing reductions and core according to the definitions directly is a typical NP problem.
约简与核是粗糙集理论的两个重要概念，而直接由定义来计算约简与核是一个典型的NP难题。
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