Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.ipl.2010.10.022 | Inf. Process. Lett. |
Keywords | Field | DocType |
process model,business process,process uncertainty,significant factor,dynamic behavior,business process model,entropy-based process measure,proposed measure,entropy-based uncertainty measure,previous work,process measure,real time systems,real time system,concurrency,entropy | Discrete mathematics,Data mining,Information processing,Business process,Concurrency,Process modeling,Real-time operating system,Process Measures,Business model,Artificial intelligence,Business process modeling,Mathematics | Journal |
Volume | Issue | ISSN |
111 | 3 | 0020-0190 |
Citations | PageRank | References |
12 | 0.81 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae-Yoon Jung | 1 | 297 | 31.94 |
| Chang-Ho Chin | 2 | 14 | 1.62 |
| Jorge Cardoso | 3 | 154 | 8.13 |