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 define 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.
CITATION STYLE
Eshuis, R., & Firat, M. (2019). Modeling Uncertainty in Declarative Artifact-Centric Process Models. In Lecture Notes in Business Information Processing (Vol. 342, pp. 281–293). Springer Verlag. https://doi.org/10.1007/978-3-030-11641-5_22
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