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为解决传统粗糙集不确定度量存在的局限,提出将变精度粗糙信息熵作为度量标准.该度量标准不仅具有变精度粗糙集良好的抗噪声干扰性能,而且具有基于信息理论的粗糙信息熵更全面反映系统不确定性的能力.给出了基于变精度粗糙信息熵的特征约简算法,实验结果表明该算法具有良好的运行效果.
In order to solve the limitation of the uncertainty measurement of the traditional rough set, a variable precision rough information entropy is proposed as a metric, which not only has the good anti-noise performance of the variable precision rough set, but also has a more comprehensive information entropy based on information theory The ability to reflect the system uncertainty, a feature reduction algorithm based on variable precision rough information entropy is given, the experimental results show that the algorithm has good performance.