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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
Discrete-event simulation
Knowledge-based systems
Knowledge elicitation
Visual fidelity
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
DOI: 10.1016/j.eswa.2012.01.170
URI: https://dspace.lboro.ac.uk/2134/10204
Publisher Link: http://dx.doi.org/10.1016/j.eswa.2012.01.170
ISSN: 0957-4174
Appears in Collections:Published Articles (Business)

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