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|Title: ||Simulation based knowledge elicitation: effect of visual representation and model parameters|
|Authors: ||Robinson, Stewart|
Lee, Ernie P.K.
Edwards, John S.
|Keywords: ||Automobile industry|
Visual interactive simulation
|Issue Date: ||2012|
|Publisher: ||© Elsevier|
|Citation: ||ROBINSON, S., LEE, E.P.K. and EDWARDS, J.S., 2012. Simulation based knowledge elicitation: effect of visual representation and model parameters. Expert Systems with Applications, 39 (9), pp. 8479 - 8489.|
|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 basedknowledgeelicitation, 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.|
|Description: ||This article was published in the journal, Expert Systems with Applications [© Elsevier] and the definitive version is available at: http://dx.doi.org/10.1016/j.eswa.2012.01.170|
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.1016/j.eswa.2012.01.170|
|Appears in Collections:||Published Articles (Business School)|
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