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- Concept Lattice and Rough Set 概念格与粗糙集
- Using rough set theory,based on concept lattice to define concept,rough approximations of concept are studied. 利用粗糙集这一工具,从概念格的角度来确定可定义概念,并在此基础上研究了概念的粗糙近似。
- Moreover, this thesis compares FCA with clustering analysis, and analyzes the similarities and differences of classification based on concept lattice and decision tree. 另外，本文在相关章节对形式概念分析和聚类分析进行比较以及分析总结了基于概念格的分类和决策树分类法的异同。
- This thesis mainly focuses on data mining based on concept lattice and its extended models, the context was involved with two domain of FCA: generation and application of concept lattice. 本文主要关注基于概念格及其扩展模型的数据挖掘研究，其中内容涉及形式概念分析两个主要方面：概念格的构造和概念格的应用。
- From what have been discussed above,accuracy measure and rough entropy of rough set,rough entropy of knowledge are re-defined in the expanded incomplete information syste... 对于知识依赖进行了深入探讨,研究了由知识动态变化所引起的知识依赖度量程度的变化,进行了相关定理的证明。
- Basing on the object oriented concept lattice and the attribute oriented concept lattice, this paper deals with approaches to attribute reduction in consistent decision formal context. 摘要本文研究基于对象定向概念格和属性定向概念格协调决策形式背景属性约简的问题。
- A constructing method of concept lattice based upon rough sets theory 一种基于粗集理论的概念格构造方法
- In 1990, Dubois pointed out that these two theories are different mathematical methods in handling two uncertainty(ambiguity and rough) ,and he put forward two kinds of mathematical model of fuzzy rough set and rough fuzzy set. 1990年，Dubois等指出两种理论是处理两种不确定性(模糊性和粗糙性)的不同的数学方法，并提出了模糊粗糙集和粗糙模糊集的数学模型。
- Decision trees, neural networks, fuzzy logic, genetic algorithm and rough set are the popular research tools. Recently, linear system technique is applied to the classification in the data mining. 主要的研究工具包括统计学、决策树、神经网络、模糊逻辑、粗糙集、遗传算法等,最近,线性系统方式技术被引用到数据挖掘的分类问题中,并且在对信用卡风险管理中获得了很好地应用。
- According to the fuzzy sets and rough sets theory, the set of original bands is first automatically divided into several approximative equivalent intervals. 该方法首先根据模糊集和粗糙集理论，对原光谱波段集合进行近似等价波段区间的自动划分。
- This paper introduced first the basic concepts of rough sets theory,including rough sets knowledge representation methods and rough sets reduct theory. 首先描述了粗糙集理论的基本概念,包括粗糙集知识表示方法和粗糙集约简理论;
- Third, This paper puts forward a new discretization method for the continuous attributes, which is based on the clustering and rough sets theory. 最后，本文基于聚类方法、结合粗集理论提出了一种新的连续属性离散化方法。
- The Comparison of Fuzzy Set and Rough Set 粗糙集与模糊集的比较研究
- The steep mountain path is rugged and rough. 陡峭的山路崎岖不平。
- Using PCA and Rough Set for Feature Extraction 应用主分量分析与粗糙集处理的特征提取
- This paper introduced first the basic concepts of rough sets theory, including rough sets knowledge representation methods and rough sets reduct theory. 摘要首先描述了粗糙集理论的基本概念，包括粗糙集知识表示方法和粗糙集约简理论；
- An Ordered Concept Lattice and Incremental Discovery of User Traversal Patterns on the WWW 有序概念格与WWW用户访问模式的增量挖掘
- He seemed as awkward and rough as ever. 他跟从前一样拙笨和粗鲁。
- His hands were soiled and rough. 他的双手污秽不堪又非常粗糙。
- He has a new row to hoe,a long and rough one. 他有个新任务要完成，一个既费时间又花气力的任务。
