基于改进信息熵的抢修操作过程复杂性测度模型

抢修操作过程复杂性既是抢修人员准确衡量抢修操作难易程度及不确定性的重要指标,又是辅助指挥员进行抢修任务分配及抢修资源调度的重要参考,还是进行抢修时间估计的重要依据。然而,目前没有合适的抢修操作过程复杂性测度方法。考虑到普通信息熵极大值公理与抢修操作过程复杂性的特征不相符,利用改进的信息熵建立抢修操作过程的复杂性测度模型,并利用回归分析法通过实例验证,模型测度结果可以客观地反映抢修操作过程的复杂性。

Complexity Metrics Model for BDAR Operating Process Based on Extend Shannon Entropy

BDAR operating process is the important index for BDAR person to confirm the difficulty and uncertainty of rush repair process. It is also the major conference for commander to assign the rush repair task and to schedule the rush repair resources. And it is the big part for assessing the rush repair time. Nevertheless,there is not appropriate method for BDAR operating process complexity metrics. Conferencing the fact that the maximum axiom of Shannon entropy is not consistent with the complexity characteristic of BDAR operating process,the extend Shannon entropy is introducing to measurement the complexity degree of operating process. At last,an example to check up the complexity metric method using regression analysis is given. By the result,this model can objectively measurement the complexity of BDAR operating process.