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Simulation based knowledge elicitation: Effect of visual representation and model parameters
Abstract:

Since much knowledge is tacit, eliciting knowledge is a common bottleneck during the development of knowledge-based systems. Visual interactive simulation (VIS) has been proposed as a means for eliciting experts’ decision-making by getting them to interact with a visual simulation of the real system in which they work. In order to explore the effectiveness and efficiency of VIS based knowledge elicitation, an experiment has been carried out with decision-makers in a Ford Motor Company engine assembly plant. The model properties under investigation were the level of visual representation (2-dimensional, 2½- dimensional and 3-dimensional) and the model parameter settings (unadjusted and adjusted to represent more uncommon and extreme situations). The conclusion from the experiment is that using a 2- dimensional representation with adjusted parameter settings provides the better simulation-based means for eliciting knowledge, at least for the case modelled

Keywords: Automobile industry Discrete-event simulation Knowledge-based systems Knowledge elicitation Visual fidelity Visual interactive simulation
Author(s): .
Source: Expert Systems with Applications 39 (2012) 8479–8489
Subject: مدیریت دانش
Category: مقاله مجله
Release Date: 2012
No of Pages: 11
Price(Tomans): 0
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