Knowledge reduction is the kernel of the rough set theory.
知识约简是粗糙集理论的核心内容之一。
参考来源 - 基于信息熵的粗糙集知识约简方法This theory also provides a suit of tools, i. e. reduction of knowledge, to acquire knowledge from data automatically.
此外,RS理论还提供了一套从数据中自动获取知识的工具,即知识约简。
参考来源 - 知识获取中的Rough Sets理论及其应用研究Rough set theory is a new data mining 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。
参考来源 - 基于粗糙集理论的客户关系管理·2,447,543篇论文数据，部分数据来源于NoteExpress
知识约简是粗糙集理论的重要研究内容。
Knowledge reduction is one of important issues in rough set theory.
提出新的条件信息熵及其高效知识约简算法。
A new conditional entropy and knowledge reduction algorithms are proposed.
知识约简后决策表的条件熵等于初始决策表的条件熵。
The conditional entropy of decision table will not change in the reduction process.
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