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）。
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。
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。
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）。
This article combine the rough set theory and the biological immunity, based on a model of rough set of immune and biological intrusion detection.
该文将粗糙集理论与生物免疫相结合，提出一种基于粗糙集与生物免疫的入侵检测模型。
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。
The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.
把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型，可处理不精确和模糊数据集信息。
Rough set theory and fuzzy set theory are two complementary mathematical tools for dealing with imprecision and uncertainty. Rough-fuzzy sets model is established by them.
粗糙集理论和模糊集理论是处理不确定和不精确问题的两种数学工具，它们有很强的互补性，将这两种理论相互融合可以建立粗糙模糊集模型。
With the rough set theory as background, this paper has studied deeply the rough set representation model and the clustering based on this model.
本文在粗糙集理论的背景知识下，对于文本的粗糙集表承模型和基于此模型下的聚类在信息过滤系统中的应用，进行了深入的研究。
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。
From the decision table defined by history fault data, we reduce the decision table in rough set theory and build the knowledge base model of expert system.
该系统从历史故障数据所形成的决策表出发，运用粗糙集理论进行约简，构建专家系统知识库模型。
A medicament dosage model of flotation process based on rough set theory and neural networks is proposed in this paper. It is compared with the medicament dosage model based on rough control theory.
结合粗糙集理论和神经网络的各自特点，提出了一种基于粗糙集一神经网络的浮选过程药剂用量数学模型，并且与基于粗糙集控制思想的浮选过程药剂添加模型进行了比较。
Using the basic conception of Rough Set theory, a quantified appraise model based on the integrality of condition attribute that composed in the case is established in this paper.
本文结合粗集理论的基本概念，根据案例所包含的条件属性是否完备建立了案例可信度的定量评价模型。
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。
Also it shows that the causal strength of the causal network model can be derived from the information table by utilizing rough set theory.
此外，为便于因果网络的建立导出了因果连接强度的粗集表达式。
Rough model is proposed to build vague regions based on upper and lower approximate sets of rough set theory after the definition of rough regions and rough model.
在粗糙集的基本概念上定义了二维离散空间中的粗糙区域和粗糙模型，基于粗糙模型描述了二维离散空间中的模糊地理对象，并给出了粗糙区域的类型。
Finally aims at the tradition to have the impractical characteristic, proposed data mining model based on the rough set theory.
针对传统的基于粗糙集理论的数据挖掘模型存在不实用的特点，提出了一种改进的数据挖掘模型。
Finally aims at the tradition to have the impractical characteristic, proposed data mining model based on the rough set theory.
针对传统的基于粗糙集理论的数据挖掘模型存在不实用的特点，提出了一种改进的数据挖掘模型。
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