In general, an execution duration or constraints of the workflow activity may be created manually (empirical temporal information) or can be derived through process mining techniques from execution logs (statistical information). Those will induce inevitably complexity of time representation and analysis in a workflow model. The focus of this work is to deal with the time analysis of workflow where fuzzy and statistical temporal information coexist. Combining formal language with the definition of workflow net, a fuzzy estimate workflow nets is introduced to analyze workflow model, which can solve the situation, where fuzzy and statistical data coexisted, to realize efficient workflow management and meet time critical business services.
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