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dc.contributor.authorThomas, Oliver
dc.contributor.authorDollmann, Thorsten
dc.contributor.authorLoos, Peter
dc.date.accessioned2017-08-28T18:53:22Z
dc.date.available2017-08-28T18:53:22Z
dc.date.issued2008
dc.identifier.issn1866-3621
dc.description.abstractIn 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.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnterprise Modelling and Information Systems Architectures - An International Journal: Vol. 3, Nr. 2
dc.titleRules Integration in Business Process Models - A Fuzzy Oriented Approachen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages18-30
mci.conference.sessiontitleSpecial Issue on Process Modelling
dc.identifier.doi10.18417/emisa.3.2.2


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