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Functional Analysis Systems Technique (F.A.S.T.) as a Group Knowledge Elicitation Method for Model Building

机译:功能分析系统技术(F.A.S.T.)作为模型建筑的知识诱导方法

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Information gathering is the most important and often the most difficult phase of dynamic system model building. Many methods have been proposed to elicit knowledge from systems experts. Most modelers avoid the social and political barriers found in group elicitation and have focused on various interviewing techniques. If properly employed, group elicitation can be an effective and extremely efficient method to get the necessary knowledge to analyze and model a system. This paper discusses the use of the Functional Analysis Systems Technique (F.A.S.T.) diagramming method as a tool for eliciting knowledge during the information-gathering phase of the modeling process.
机译:信息收集是动态系统模型建筑最重要的,通常是最困难的阶段。已经提出了许多方法来引出系统专家的知识。大多数建模者避免了集团委托的社会和政治壁垒,并专注于各种面试技术。如果适当使用,组诱因可以是有效且极其有效的方法,以获得分析和建模系统的必要知识。本文讨论了使用功能分析系统技术(F.A.S.T.)图表方法作为在建模过程的信息收集阶段引发知识的工具。

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