Modeling uncertainty in declarative artifact-centric process models

Research output: Contribution to conferencePaperAcademic

3 Downloads (Pure)


Many knowledge-intensive processes are driven by business
entities about which knowledge workers make decisions and to which they
add information. Artifact-centric process models have been proposed to
represent such knowledge-intensive processes. Declarative artifact-centric
process models use business rules that dene how knowledge experts
can make progress in a process. However, in many business situations
knowledge experts have to deal with uncertainty and vagueness. Currently,
how to deal with such situations cannot be expressed in declarative
artifact-centric process models. We propose the use of fuzzy logic to
model uncertainty.We use Guard-Stage-Milestone schemas as declarative
artifact-centric process notation and we extend them with fuzzy sentries.
We explain how the resulting fuzzy GSM schemas can be evaluated by
extending an existing GSM engine with a tool for fuzzy evaluation of
rules. We evaluate fuzzy GSM schemas by applying them to an existing
fragment of regulations for handling a mortgage contract.
Original languageEnglish
Publication statusPublished - 2018
Event2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018) - Sydney, Australia
Duration: 9 Sep 201814 Sep 2018


Workshop2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018)
Abbreviated titleAI4BPM 2018
Internet address


  • Declarative Artifact-Centric Process Models
  • Modeling Uncertainty


Dive into the research topics of 'Modeling uncertainty in declarative artifact-centric process models'. Together they form a unique fingerprint.

Cite this