您要查找的是不是：
- Features of rough set theory 粗糙集理论的特点
- The rough communication is a new application of rough sets theory. 信息粗传递是粗糙集理论的一个新的应用。
- Reduction of knowledge is the core of rough set theory. 摘要知识约简是粗糙集理论的核心问题。
- The classification and reduction are the important objectives of rough set theory. 摘要粗糙集理论研究的重要内容是分类与约简。
- This text mainly introduced the general context of Rough Set Theory (RST), and the safety assessment study based on this theory. 而本文主要介绍了粗糙集理论和方法的一般内容，并在此基础上进行基于粗糙集理论和方法的安全评价研究。
- These conclusions are helpful for people to understand the essential of rough set theory and to build foundation for seeking new efficient alg... 这些结论有助于人们深刻理解粗糙集理论的本质,同时为寻找高效的属性约简算法奠定了基础。
- The reliability of the axiom group, which shows that characterizing of rough set theory based on similar relation is rational, is proved. 证明了公理组的可靠性，它表明了用所给公理组刻画基于相似关系粗糙集理论的合理性。
- This paper introduces the basic ideas of rough set theor y and the knowledge representation in rough set theory, then reviews the recent studies for this theory. 介绍粗糙集理论的基本原理，粗糙集理论中的知识表示以及目前粗糙集理论的研究状况。
- This paper briefly introduces the principles and methods of rough set theory,and gives an example applying Rosetta software based on rough set theory to diagnose the heart disease. 简要介绍了粗糙集理论的基本原理和主要方法,给出了一个基于粗糙集理论设计的Rosetta软件对心脏病进行诊断的应用实例。
- Investigations about implemental system and achievements in industrial applications of rough set theory have been done. The problems of rough set theory in industrial modeling control and FDD are pointed . 对于粗糙集的开发工具、研究及应用成果以及在工业控制中的发展过程作了系统深入的综述，重点分析和评述了粗糙集理论在工业过程建模、控制与故障诊断中所面临的问题。
- With respect to extension of rough set theory under incomplete information systems, rough set modal based on class similarity relation is proposed in this thesis, this modal can reclassify to objects through equivalence partition of domain values. 在不完备系统下的粗糙集理论的扩充方面，提出了一种类相似关系的粗糙集模型，该模型通过对域值的等价划分，可对对象进行重新分类。
- An important topic of rough set theory is the approximations of undefined concept through defined concept,and its basic work is how to construct the defined concept and approximation operators. 粗糙集理论的一个重要研究方面是用已定义的概念来近似未定义的概念,而如何构建可定义概念以及如何确定近似运算是这一工作的基础。
- 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;
- 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；
- Reduction of rough set theory and their relations 粗集理论中知识的简化及其相互关系
- Applications of rough set theory 粗糙集理论的应用
- Mining of Rough Set Theory for Large Data Table 面向大型数据表的粗分析方法
- Extended Model of Rough Set Theory 粗糙集理论的扩展模型研究
- Applications of Rough Set Theory in Data Mining 粗糙集理论在数据挖掘领域中的应用
- Based on knowledge base of rough sets theory, knowledge integral sum and knowledge integral are defined.Their properties and the connection with Lebesgue integral sum and integral are studied. 摘要基于粗糙集理论的知识库，定义了知识积分和与知识积分，研究了它们自身的性质及与勒贝格积分和、勒贝格积分的关系。
