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。
Users can adapt the scale of fuzzy range by setting parameter in membership function or altering values in the histogram, and set different confidence to query different reliable data.
用户通过设置隶属函数的参数、直方图的值调整模糊范围的大小，通过设置不同的可信度查询不同可靠性的数据。
Data mining is an important problem in KDD, and Rough set as a theory of set with fuzzy boundary is widely applied to infer classification rules from decision system.
数据挖掘是知识发现领域的一个重要问题，粗糙集理论是一种具有模糊边界的数据挖掘方法，它被广泛应用于决策系统的分类规则提取中。
There are lots of fuzzy and noisy data in bank database, by application of fuzzy set improve the efficiency and accuracy of customer classification.
由于银行客户数据库中存在大量模糊和噪声数据，应用模糊集技术进行聚类分析，可以提高客户分类的效率和精确度。
Combining rough set theory with fuzzy logic technology, this paper has presented a method of gaining fuzzy control rules based on measured data.
将粗糙集理论与模糊逻辑技术相结合，提出了一种通过测量数据来获取模糊控制规则的方法。
In this paper, we connected fuzzy set theory with association mining, and proposed a fuzzy association data mining arithmetic.
本文把模糊集理论和传统的关联挖掘结合在一起，提出了一种模糊关联数据挖掘算法。
According to the high dimensions and uncertainty of process industrial data, the fuzzy set and rough set of granularity data mining are studied for process data.
针对流程工业数据的高维数、不确定的特点，研究适合处理流程数据的模糊集、粗糙集的粒度数据挖掘理论和方法。
A method of dealing with non-accurate data in commercial bank based on fuzzy set is presented, and clustering analysis of personal customer is introduced.
运用模糊集技术处理商业银行中的非精确数据，对个人客户进行聚类分析，并通过实例分析了实现银行客户分类的整个过程。
A whole set of fuzzy control rules by analysing the actual data knowledge base have been set up.
通过对实际数据的分析，获得了完整的模糊控制规则集。
Based on fuzzy set theory, the multi-sensor data amalgamation adopted fuzzy set theory to deal with data.
基于模糊集理论的多传感器数据融合，应用模糊集理论处理数据。
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。
In this article, the fuzzy set theory is introduced into morphological operations, and fuzzy morphological operations as well as their membership functions that can process fuzzy data are proposed.
该文把模糊集理论引入数学形态学，提出能处理模糊数据的模糊形态运算，并给出模糊形态运算的隶属函数，使传统的数学形态学能够处理模糊数据且容易在计算机上实现。
We model the vague constraints and uncertain data by fuzzy set theory.
我们模型的模糊和不确定的制约因素数据的模糊集理论。
The distribution pattern of automobile reliability data has a nature of fuzzy set.
汽车可靠性工程数据的分布规律具有模糊集合的性质。
A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.
针对数据挖掘问题，将直觉模糊集与神经网络理论相结合，提出一种新的方法。
In order to enhance the ability of modeling fuzzy phenomena, the fuzzy set theory is introduced into GIS, which produces fuzzy spatial data.
为了描述空间数据的模糊性，把模糊集理论引入GIS，以加强GIS对模糊现象建模的能力，因而产生了模糊数据。
Fuzzy rough set theory is an important method for data mining of uncertain data.
模糊粗糙集理论是一种处理不确定性信息的重要的数据挖掘方法。
Emphasis was on a fuzzy set data fusion algorithm which could be used for multi-frequency eddy current signal processing.
最后给出用该方法对硬化层深多频涡流检测信息融合的结果。
Emphasis was on a fuzzy set data fusion algorithm which could be used for multi-frequency eddy current signal processing.
最后给出用该方法对硬化层深多频涡流检测信息融合的结果。
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