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- In order to solve in a certain extent depending of original data in form Selection of large?span steel space structures, this paper analyses probabilistic rough set theory; 为了在大跨空间钢结构选型时在一定程度上解决原始数据的依赖性问题本文分析了概率粗糙集理论,研究了利用信息熵的方法进行了属性约简的过程,并在规则的提取时采用了Bayes决策方法,比较了概率粗糙集与标准粗糙集的异同。
- Probabilistic rough set 概率粗糙集
- 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。
- 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。
- 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。
- In order to discover probabilistic decision rules in preferential multiple attribute decision system with incomplete information, an extension of the rough sets model is proposed in the paper. 摘要为了从有偏好信息但信息不完全的多属性决策系统中获取概率决策规则，提出一种新的不完全信息的多属性粗糙决策分析方法。
- 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。
- Based on rough set theory, a new fault diagnosis method of power electronic circuits was presented. 基于粗糙集理论,提出了一种电力电子电路故障诊断的新方法:粗糙集方法。
- 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。
- A new method of rough set and neural network for fan trouble diagnosis is presented. 提出了一种粗糙集理论与神经网络集成的风机故障诊断方法。
- Rough set theory and synthesis reasoning theory can be integrated and generalized successfully. 实现了对粗糙集理论和综合推理理论的融合和成功扩展。
- Through these studies, the study of rough set's algebraic properties are spreaded to right involution groupoid. 这些结果将粗糙集代数性质的研究扩展到右对合广群这个代数系统中。
- With the basic principle of rough set, customers dig out the decision rules they wanted. 利用粗糙集理论的基本原理,挖掘出用户需要的决策规则。
- In this paper,the authors present a method combined rough set(RS) with least square support vector regression(LS-SVR). 该文提出结合粗糙集(RS)和最小二乘支持向量回归(LS-SVR)的方法。
- 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。
- In order to get the reduction of attribute，the paper proposes a rough set attribute reduction algorithm based on AGA. 摘要 为了获得有效的属性最小相对约简，提出了一种基于自适应遗传算法的粗糙集知识约简算法。
- Methods: Rough set was used as data mining tool for extracting the potential diagnostic rules of TCM gastropathy. 方法:采用粗糙集合作为数据挖掘工具,提取中医胃病诊疗信息潜在的诊断规则。
