该文基于数据挖掘技术，提出了一种模糊数据挖掘方法。
The paper proposes a method of fuzzy data mining (FDM) based on data mining technology.
建立合适的隶属度函数是入侵检测中应用模糊数据挖掘所面临的一个难点。
Defining appropriate membership functions is a difficult task in fuzzy data mining to detect intrusions.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗集是一种处理模糊和不确定性数据的工具，因而成为数据挖掘中的重要框架。
Rough Set is a tool to deal with vague and uncertain data, therefore it becomes an important frame in DM.
研究模糊聚类分析在医学图像数据挖掘中的应用。
To study the application of fuzzy cluster analysis for medical image data mining.
粗糙集理论是一种新的处理模糊和不确定性知识的数学工具，在人工智能及数据挖掘等众多领域已经得到了广泛的应用。
Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and data mining.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
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。
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.
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。
Fuzzy rough set theory is an important method for data mining of uncertain data.
讨论了区间值关系数据库上模糊关联规则的挖掘算法与预测方法。
Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.
数据库中关联规则挖掘一直是人们研究的热点，而模糊集理论的应用又为这一领域注入了新的活力。
Mining association rules in databases is the hot point in people's researches and the application of fuzzy-set theory has added new energy into the field.
神经网络和模糊逻辑都是有效的数据挖掘方法。
Both neural network and fuzzy logic are valid method for data mining.
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。
A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.
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。
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.
粗糙集理论以其出色的处理模糊和不确定知识的能力，成为数据挖掘研究中的有力工具。
Rough set, with its ability in dealing with uncertainty and vagueness, is widely applied in the study of data mining.
详细介绍了数据挖掘技术的常用方法，包括模糊理论、粗糙集理论、云理论、证据理论、人工神经网络、遗传算法以及归纳学习。
Mostly used methods are introduced in detail, including fuzzy method, rough sets theory, cloud theory, evidence theory, artificial neural networks, genetic algorithms and induction learning.
该文针对网管告警数据库中时间序列存在的连续性、不确定性和模糊性问题，提出了一种基于时态关联规则挖掘告警库的新方法。
For the problems of continuity, uncertainty and fuzziness in the time-series of the network management alarm database, this pa-per puts forward a new mining method based on time-series rules.
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。
In this paper, we connected fuzzy set theory with association mining, and proposed a fuzzy association data mining arithmetic.
在分析铁路客票数据特征的基础上，提出采用分段模糊BP神经网络对铁路客运量进行数据挖掘预测。
The segment fuzzy BP Neural Network is adopted to predict the passenger traffic volume of railways in data mining based on analyzing the data feature of railway passenger tickets.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
另外，本文用模糊集理论对时间序列数据挖掘过程中的不确定性进行了处理，提出了一种模糊时序数据挖掘的框架。
Moreover, fuzzy sets theory is adopted in the dissertation to deal with the uncertainty of the mining process and a new fuzzy frame of TSDM is given then.
由于关系数据的竞争聚集算法能得到优化的固定的聚类个数，因此能挖掘出优化的模糊关联规则。
The optimal fuzzy association rules can be mined due to the optimal fixed clustering number that can be obtained by the relational competitive agglomeration algorithm.
主要研究内容与研究成果如下：◇本文提出了一种通用的数据挖掘结果与模糊专家系统规则库自动融合的模型。
The main researches and contributions are threefold:Propose a general model which could automatically merge newly discovered knowledge with original fuzzy knowledge base.
探讨了聚类分析这一重要的数据挖掘方法在综合评价中的应用，将模糊聚类与综合评价相结合以解决待评价方案数较多的排序问题，并且文中还改进了建立模糊相似矩阵的方法。
Fuzzy clustering is associated with comprehensive assessment in the study of sorting when the number of object is large, and we improve the method of setting up fuzzy similar matrix.
同时，设计出了FARM模糊动作关联规则算法，对企业关系价值真实数值型数据进行挖掘，并挖掘出提升企业关系价值的主要规则。
Meanwhile, FARM algorithm is designed to mine the real numerical data of enterprise relationship value. Then, the promotion rules of relationship value are put forward.
多重粗糙模糊集可用于从具有一对多依赖性关系的且具有模糊特性的数据中挖掘知识。
Multiple rough fuzzy sets can conveniently find associated knowledge from data with one-to-many dependency and fuzzy properties.
多重粗糙模糊集可用于从具有一对多依赖性关系的且具有模糊特性的数据中挖掘知识。
Multiple rough fuzzy sets can conveniently find associated knowledge from data with one-to-many dependency and fuzzy properties.
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