不完备信息系统中一种新的不确定性度量方法

不确定性度量是智能计算等领域中一个重要的研究问题。在不完备信息系统中，为了融合众多不确定性度量方法的优点，引入近似粗糙度度量方法，由于该度量方法存在一定的缺陷，接着在近似粗糙度中融合知识粒度度量，提出一种新的不确定性度量方法，同时在所提出度量方法的基础上加入了一个平滑因子，以提高该度量方法在不确定性度量时的适用性。实验结果表明所提出的方法具有更好的不确定性度量效果。

A New Uncertainty Measurement Method in Incomplete Information System

Uncertainty measurement is an important research issue in areas such as intelligent computing.In incomplete information system,in order to fuse the advantages of many uncertainty measurement methods,the approximation roughness is firstly introduced.Because the measurement method exists certain defects,then the measurement of knowledge granularity is fused in approximation roughness,and a new uncertainty measurement method is proposed.Meanwhile,a smoothing factor is added to the proposed measurement method to improve its applicability in the uncertainty measurement.Finally,the experimental results show that the proposed method has a better effect on the uncertainty measurement.