Towards Enhanced Business Process Models Based on Fuzzy Attributes and Rules

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Provided by: Saarixx Labs
Topic: Big Data
Format: PDF
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 paper 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 modeling is carried out with the event-driven process chain.
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