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- granulation degree of variation rough set 变异粗集粒度
- The use of variation rough sets in set pair analysis 变异粗集在集对分析中的应用
- variation rough sets 变异粗集
- variation rough set 变异粗集
- In addition, we process the polysemous problem using rough sets. 本系统还利用模糊集来处理多义词的问题。
- 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。
- In addition,we process the polysemous problem using rough sets. 另外,本系统还利用模糊集来处理多义词的问题。
- The advantage of Rough set is the ability to acquire the knowledge. 粗糙集理论的要点是将分类与知识联系在一起，粗糙集理论认为知识即是将对象进行分类的能力。
- 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。
- A new method about extracting rules based on rough sets theory was proposed. 摘要提出了一种基于粗糙集理论的规则提取的新方法。
- It is an offshoot to study rough sets from algebraic and topologic opinions. 摘要从代数的观点、拓扑的观点来讨论和研究粗糙集是粗糙集理论研究的主导思想之一。
- This paper presents a rough set theory based on the text classification. 文章提出了一种基于粗糙集理论的文本分类方法。
- Granular computing is emerging as a powerful tool for rough set theory. 粒度计算是粗糙集理论研究的一种强有力的工具。
- two direction variation S- probability rough sets 双向变异S-概率粗集
- one direction variation S- rough sets 单向变异S-粗集
- The attributes reduction of Rough Set is NP problem, and it makes Rough Set hard to use broadly in reality. 摘要粗糙集的属性约简属于NP问题，这就使得粗糙集很难在现实中得到广泛的应用。
- The concept of fuzzy rough sets was initially proposed by Dubois and Prade (1990). 模糊粗糙集概念一般认为是由Dubois和Prade(1990)给出的。
- The rough sets theory was put forword at the beginning of 1980s by Polish mathematician Z. 粗糙集理论是20世纪80年代初由波兰数学家Z.
- Then, conflict evidences are reduced by using the attribute weightiness of Rough Sets to eliminate redundant sensors. 利用粗糙集中属性的重要性消除冗余传感器，减少了证据组合的冲突现象。
- First we compare rough sets and random sets,and derive the relationship between belief function and lower probability. 首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
