Samenvatting
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.
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.
| Originele taal-2 | Engels |
|---|---|
| Status | Gepubliceerd - 2018 |
| Evenement | 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018) - Sydney, Australië Duur: 9 sep 2018 → 14 sep 2018 https://sites.google.com/view/ai4bpm-2018/home |
Workshop
| Workshop | 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018) |
|---|---|
| Verkorte titel | AI4BPM 2018 |
| Land | Australië |
| Stad | Sydney |
| Periode | 9/09/18 → 14/09/18 |
| Internet adres |
Vingerafdruk
Citeer dit
Eshuis, H., & Firat, M. (2018). Modeling uncertainty in declarative artifact-centric process models. Paper gepresenteerd op 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018), Sydney, Australië.