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 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.
Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2018 International Workshops, Revised Papers
Subtitle of host publicationBPM 2018 International Workshops, Sydney, NSW, Australia, September 9-14, 2018, Revised Papers
EditorsFlorian Daniel, Quan Z. Sheng, Hamid Motahari
Place of PublicationBerlin
PublisherSpringer
Chapter22
Pages281-293
Number of pages13
ISBN (Electronic)978-3-030-11641-5
ISBN (Print)978-3-030-11640-8
DOIs
Publication statusPublished - 29 Jan 2019

Publication series

NameLecture Notes in Business Information Processing
Volume342
ISSN (Print)1865-1348

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