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Workflow Analysis based on Estimate of Fuzzy and Statistical Data

机译:基于模糊统计数据估计的工作流分析

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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
机译:通常,可以手动创建(工作时间活动的执行时间或约束)(经验时间信息),或者可以通过过程挖掘技术从执行日志(统计信息)中导出执行持续时间或工作流活动的约束。这些将不可避免地导致工作流模型中时间表示和分析的复杂性。这项工作的重点是处理模糊和统计时间信息共存的工作流的时间分析。结合形式语言和工作流网的定义,引入模糊估计工作流网对工作流模型进行分析,可以解决模糊和统计数据共存的情况,实现高效的工作流管理,满足时间紧迫的业务服务需求。

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