Rules Integration in Business Process Models - A Fuzzy Oriented Approach

Authors

  • Oliver Thomas Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI), Saarland University
  • Thorsten Dollmann Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI), Saarland University
  • Peter Loos Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI), Saarland University

DOI:

https://doi.org/10.18417/emisa.3.2.2

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.

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Published

2015-12-07

Issue

Vol. 3 No. 2 (2008)

Section

Research Articles

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