Variableprecision rough set model is proposed by W.
变精度粗糙集模型是由W。
Range reduct based on variable precision rough set model;
变精度粗集模型是一种有参数的粗集扩充模型。
Variable precision rough set model was developed to solve emitter recognition problems.
为解决辐射源识别的问题，研究了变精度粗糙集模型生成规则。
A new method was developed to find the decision rules in a rough set model based on the variable precision rough set model.
为解决辐射源识别的问题，研究了变精度粗糙集模型生成规则。
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。
As knowledge block in knowledge base is fuzzy and is obtained randomly, we study the rough set model based on random fuzzy rough sets.
当知识库中的知识模块既是模糊的又是随机得到的，我们定义了基于随机模糊集的粗糙集模型。
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。
In this paper, variable precision rough set model based on set pair analysis is proposed by introducing a concept of relatively classified fault rate.
该文是在集对粗糙集模型的基础上，引入相对分类错误率的概念，提出了一种基于集对分析的变精度粗糙集模型。
The thesis studies the generalized rough set models and proposes a multi-level rough set approximation model CBM-RS based on a covering of the universe.
作者研究了粗糙集扩展理论，提出了一种多层粗糙集模型CBM-RS。 该模型是一种基于覆盖的扩展的多层粗糙集模型。
Some Approximate Space concepts were re-defined. The Reduction of Weighing Rough Set Model was stated, two methods for calculating weight were was given, too.
重新定义了近似空间内的一些概念，给出了加权粗糙集模型的约简概念，指出了加权系数的两种方法。
Then, the mistake classification rate between two fuzzy sets is defined. Later, fuzzy variable precision rough set model is proposed based on the two definitions.
另一方面提出了在一定错分率存在的条件下的模糊集合间的相对错分率，之后结合这两个理论给出了基于模糊邻域算子的模糊变精度粗糙集模型。
Moreover, the similarity dominance-based rough set model is introduced into the incomplete fuzzy decision system for knowledge reduction and knowledge acquisition.
将基于相似优势关系的粗糙集模型引入不完备模糊决策系统中，对其中的知识约简与知识获取问题进行了研究。
By combining fuzzy set theory and rough set theory, rough fuzzy set model and fuzzy rough set model were proposed, and the uncertain measurement approaches were established.
人们将粗糙集理论与模糊集理论相结合，提出了粗糙模糊集模型和模糊粗糙集模型，并给出了相应的不确定性度量方法。
In this paper, a degree-variable precision rough set model based on variable precision rough set and the degree of rough set is proposed by introducing a concept of error parameters.
在程度粗糙集和变精度粗糙集的基础上，通过引入误差参数，给出了一种新的程度变精度粗糙集模型并得出了所给模型上、下近似的一些性质。
The improved variable precision rough set model (VPRS) is applied to analyze "the questionnaire of customer's decision-making psychology". The sample includes 910 undergraduate students.
利用改进后的变精度粗糙集模型(VPRS)分析“消费者决策心理调查问卷”，样本包括910个大学生。
In this paper, as a generalization of Pawalak's rough set model, we introduce a rough set model over two universes and discuss its properties and applications to the diagnosis of diseases.
主要从标准粗糙集出发介绍了将单个非空有限论域上的粗糙集推广到两个非空有限论域上形成的两个论域上的粗糙集，对其性质进行了讨论，以及该模型在疾病诊断上的应用。
Some practical problems allow certain degree error of classification, in order to solve the problems, this paper extended our model and put forward the degree rough set model based covering.
有一些实际问题是允许一定程度的分类误差的，为了解决这些问题，本文将基于覆盖的粗糙集模型作了相应的推广，提出了基于覆盖的程度粗糙集模型。
This paper presents a novel rough set model based on concordance relation, according to which the objects are less indiscernible and tolerant on the basis of classical and tolerant rough sets.
在传统的粗糙集模型和相容粗糙集模型基础上，通过松弛对象之间的不可分辨和相容性条件，给出了一种新的基于和谐关系的粗糙集模型。
We propose a data mining model based on clustering and rough set.
提出了一种基于聚类和粗糙集的数据挖掘模型。
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。
Have improved calculation model of the consistency level in Rough Set.
改进了粗糙集一致性水平的计算模型。
Due to the incompleteness and complexity of fault diagnosis for power transformer, a specific fault diagnostic model with self-improvement method based on the Rough Set theory is given in this paper.
鉴于电力变压器信息的不完备性及复杂性，基于粗糙集理论提出了一种能较好处理不完备信息的变压器故障诊断模型。
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。
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。
Since urban travel times are stochastic and uncertain, a model for addressing urban travel time prediction by using transport information granular computing theory based on rough set was proposed.
由于城市道路交通问题具有不确定性和不精确性，故采用基于粗糙集的交通信息提取计算理论建立城市道路行程时间预测模型。
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。
This paper introduce the basic concept and character of rough set theory, and attempt to combine seismic damage prediction, then set up a model of congregated seismic damage prediction.
介绍粗糙集理论的基本概念及特点，尝试将其与震害预测工作联系，建立一种群体震害预测模型。
Aim To establish a generalized model of rough set theory based on quasi order relation.
目的建立一种基于拟序关系的推广的粗糙集模型。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
Rough set data analysis in the knowledge discovery in database (KDD) is different to other KDD methods, especially with respect to model assumption.
粗集数据分析不同于其它知识发现方法，特别在模型假设方面的一种方法。
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