An entropy-based uncertainty measure of process models

作者:Jung Jae Yoon; Chin Chang Ho*; Cardoso Jorge
来源:Information Processing Letters, 2011, 111(3): 135-141.
DOI:10.1016/j.ipl.2010.10.022

摘要

In managing business processes, the process uncertainty and variability are significant factors causing difficulties in prediction and decision making, which evokes and augments the importance and need of process measures for systematic analysis. We propose an entropy-based process measure to quantify the uncertainty of business process models. The proposed measure enables capturing the dynamic behavior of processes, in contrast to previous work which focused on providing measures for the static aspect of process models.

  • 出版日期2011-1-1