Two new information entropy based uncertainty measures are presented based on variable precision rough set theory.

借鉴变精度粗糙集理论的思想,采用基于信息熵的方法构造了两个新的粗糙决策规则不确定性量度函数.

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The equivalence among classification , relative positive - region and variable precision rough sets, attributes reduction becomes multiform.

并且三者之间打破了在经典粗糙集模型中的等价性,需要针对三者分别建立模型, 使属性约简变得多样化.

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