利用该方法计算决策表局部最小确定性，并以此为阈值来控制规则集生成的数量，避免不必要的冗余规则的生成。
As a threshold, the local minimal certainty of decision table is calculated to control the number of rule set generated and avoid redundant rules existing.
DSS的设计中，决策模型或决策规则的构建都经常的涉及不确定性问题。
Uncertainty will always be encountered in the design of DSS, especially in building decision modeling or decision rules.
由已知数据中产生的粗糙决策规则往往具有不确定性，需要适当的不确定性量度。
The evaluation of the uncertainty of rough decision rules retrieved from a given data set needs proper uncertainty measures.
根据粗糙集上下近似的概念，决策规则能够分成确定性规则和可能性规则两种。
According to the lower and upper approximations, decision rules can be divided into certain and possible rules.
根据粗糙集上下近似的概念，决策规则能够分成确定性规则和可能性规则两种。
According to the lower and upper approximations, decision rules can be divided into certain and possible rules.
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