Rules Integration in Business Process Models - A Fuzzy Oriented Approach
| dc.contributor.author | Thomas, Oliver | |
| dc.contributor.author | Dollmann, Thorsten | |
| dc.contributor.author | Loos, Peter | |
| dc.date.accessioned | 2017-08-28T18:53:22Z | |
| dc.date.available | 2017-08-28T18:53:22Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | In business process management, decision situations are often characterized by fuzziness. This means that the decision premises are not available in the form of mathematic models or numeric values, but rather as fuzzy conditions, such as “low processing time” or “high quality”. This article will show how fuzzy conditions and vaguely formulated goals in business process models can be considered using the fuzzy set theory. This fuzzy extension of process modelling is carried out with the event-driven process chain. | en |
| dc.identifier.doi | 10.18417/emisa.3.2.2 | |
| dc.identifier.pissn | 1866-3621 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 3, Nr. 2 | |
| dc.title | Rules Integration in Business Process Models - A Fuzzy Oriented Approach | en |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 30 | |
| gi.citation.publisherPlace | Berlin | |
| gi.citation.startPage | 18 | |
| gi.conference.sessiontitle | Special Issue on Process Modelling |
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