Measure of Uncertainty in Process Models Using Stochastic Petri Nets and Shannon Entropy
AbstractWhen modelling and analysing business processes, the main emphasis is usually put on model validity and accuracy, i.e., the model meets the formal specification and also models the relevant system. In recent years, a series of metrics has begun to develop, which allows the quantification of the specific properties of process models. These characteristics are, for instance, complexity, comprehensibility, cohesion, and uncertainty. This work is focused on defining a method that allows us to measure the uncertainty of a process model, which was modelled by using stochastic Petri nets (SPN). The principle of this method consists of mapping of all reachable marking of SPN into the continuous-time Markov chain and then calculating its stationary probabilities. The uncertainty is then measured as the entropy of the Markov chain (it is possible to calculate the uncertainty of the specific subset of places as well as of whole net). Alternatively, the uncertainty index is quantified as a percentage of the calculated entropy against maximum entropy (the resulting value is normalized to the interval <0,1>). The calculated entropy can also be used as a measure of the model complexity. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Ibl, M.; Čapek, J. Measure of Uncertainty in Process Models Using Stochastic Petri Nets and Shannon Entropy. Entropy 2016, 18, 33.
Ibl M, Čapek J. Measure of Uncertainty in Process Models Using Stochastic Petri Nets and Shannon Entropy. Entropy. 2016; 18(1):33.Chicago/Turabian Style
Ibl, Martin; Čapek, Jan. 2016. "Measure of Uncertainty in Process Models Using Stochastic Petri Nets and Shannon Entropy." Entropy 18, no. 1: 33.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.