Modeling uncertainty in declarative artifact-centric process models

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Abstract

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
https://sites.google.com/view/ai4bpm-2018/home

Workshop

Workshop2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018)
Abbreviated titleAI4BPM 2018
CountryAustralia
CitySydney
Period9/09/1814/09/18
Internet address

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Keywords

  • Declarative Artifact-Centric Process Models
  • Modeling Uncertainty

Cite this

Eshuis, H., & Firat, M. (2018). Modeling uncertainty in declarative artifact-centric process models. Paper presented at 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018), Sydney, Australia.