Modeling uncertainty in declarative artifact-centric process models

Onderzoeksoutput: Bijdrage aan congresPaper

2 Downloads (Pure)

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.
Originele taal-2Engels
StatusGepubliceerd - 2018
Evenement2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018) - Sydney, Australië
Duur: 9 sep 201814 sep 2018
https://sites.google.com/view/ai4bpm-2018/home

Workshop

Workshop2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018)
Verkorte titelAI4BPM 2018
LandAustralië
StadSydney
Periode9/09/1814/09/18
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.