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- Weighted rough set(WRS) model is an extension of rough set(RS),based on variable precision rough set(VPRS) model. 加权粗糙集模型是粗糙集基于变精度模型的一种扩展。
- Weighted rough set (WRS) model is an extension of rough set (RS), based on variable precision rough set (VPRS) model. 摘要加权粗糙集模型是粗糙集基于变精度模型的一种扩展。
- weighted rough sets 加权粗糙集
- 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。
- This article proposes the objective way of calculating the importance of each attribute based on Rough Set to get the weight of each indicator and unify these two methods above to finally determine the target weight. 本文将粗集理论中属性重要度的概念引入网络课程评价中的权重确定过程，提出将决策者先验知识给定的权重同粗集理论确定的属性重要度结合起来作为最终确定网络课程评价指标权重的方法。
- 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。
- Lin, T.Y. and Cercone, N., ed.（1997） Rough sets and data mining ： analysis of imprecise data. 宋华（2000.;4），审计机关如何因应电子支付新时代的来临，审计季刊，第二十卷第三期。
- It is superset of the word computational theory,rough sets theory,quotient space theory and interval computing . 它是词计算理论、粗糙集理论、商空间理论、区间计算等的超集,也是软计算科学的一个分支。
