Rough set theory is the core content of knowledge reduction.
粗糙集理论的核心内容是知识约简。
A new conditional entropy and knowledge reduction algorithms are proposed.
提出新的条件信息熵及其高效知识约简算法。
At present, many scholars have made deep studies of knowledge reduction and achieved a lot.
目前，许多学者对知识约简做了深入的研究，并取得了很多成果。
A problem in the information system and knowledge discovery, is a problem of processing optimal knowledge reduction.
最佳知识约简问题是信息系统与知识发现中面临的一个重要问题。
A method of knowledge reduction based on the combination of mutual information and doubtful measure is proposed in this paper.
提出一种基于互信息和疑义度相结合的知识约简方法。
A heuristic algorithm based on conditional information entropy for knowledge reduction is proposed, and the complexity of this algorithm is analyzed.
提出了一种基于条件信息熵的知识约简启发式算法，并指出该算法的时间复杂度是多项式的。
Moreover, the similarity dominance-based rough set model is introduced into the incomplete fuzzy decision system for knowledge reduction and knowledge acquisition.
将基于相似优势关系的粗糙集模型引入不完备模糊决策系统中，对其中的知识约简与知识获取问题进行了研究。
Reduction of knowledge and compression of information play a very important role in data intelligence processing, which deal with concepts of knowledge reduction and data dependency.
在智能信息处理中，知识的化简、信息的压缩起着重要作用，这涉及到知识的简化和数据的依赖性等概念。
However, knowledge reduction is dependent on a series of supporting algorithms such as the calculation of attribute significance, finding core, attribute reduction and value reduction.
然而，知识约简离不开一系列的算法作支撑，包括判断属性的重要性、求核、属性约简和值约简等。
Knowledge reduction is one of important issues in rough set theory.
知识约简是粗糙集理论的重要研究内容。
Knowledge reduction is one of the important contents in the research on rough set theory.
知识约简是粗糙集理论研究中的重要内容之一。
Knowledge reduction is the core of Rough set. It obtains the reduction attribute and classification rules while holding the ability of classification unchanged.
知识约简是其中的核心内容，是在保持分类能力基本不变的情况下，获得系统的约简属性和分类规则。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
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