基于条件概率的粗糙集不确定性度量
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作者单位:

佛山科学技术学院a. 理学院,b. 电子信息工程学院,广东佛山528000.

作者简介:

黄国顺

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中图分类号:

TP18

基金项目:

广东省高等学校科技创新重点项目(2014KTSCX152).


Uncertainty measures of rough set based on conditional possibility
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a. Science School,b. Electronics and Information Engineering School,Foshan University,Foshan 528000,China.

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    摘要:

    通过语义分析, 提出一种修正的粗糙集不确定性度量公理化定义. 首先, 对该定义的数学特征进行分析, 提出两种基于条件概率的粗糙集不确定性度量方法; 然后, 证明它们满足所提出的公理化定义, 并导出相应的知识不确定性度量, 发现其中一个是现有条件信息熵, 另一个与确定性度量形成互补关系. 设计算例对各种不确定性度量进行比较分析, 验证了所提出的度量公式与不确定性语义保持一致.

    Abstract:

    By a semantic analysis to the uncertainty measure of rough set, an improved axiomatic definition of the uncertainty measure for the rough set is proposed. Firstly, based on the analysis of mathematical characters of axiomatic definition, two new uncertainty measures based on conditional possibility are proposed. Then, it is proved that they are the uncertainty measures under the axiomatic definition, and the corresponding uncertainty measuring formulas of knowledge are derived, respectively. It is found that one of them is just the existing conditional information entropy, the other has a complement relationship with the certainty measure. An example is given to compare the uncertainty measures, which illustrates that the proposed formulas are consistent with the semantics of uncertainty for the rough set.

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黄国顺 曾凡智 文翰.基于条件概率的粗糙集不确定性度量[J].控制与决策,2015,30(6):1099-1105

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  • 收稿日期:2014-03-11
  • 最后修改日期:2014-09-10
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  • 在线发布日期: 2015-06-20
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