需求引出与间接知识引出:三种方法的比较

E. Hudlicka
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引用次数: 55

摘要

在本文中,我们描述了一个案例研究,比较了三种间接知识获取技术的有效性:库存网格分析,多维尺度和分层聚类。这些技巧用于专家在回答直接问题时难以清晰表达他们的知识的情况。对这些技术进行了比较,包括所得属性的数量、获得这些数据的难易程度以及所需的后期分析和解释程度。该研究是在航空安全检查领域进行的,目的是确定检查指标。研究结果表明,储层网格分析方法能产生其他两种方法产生的所有属性,易于在现场应用,且不需要对结果进行复杂的分析和重新解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Requirements elicitation with indirect knowledge elicitation techniques: comparison of three methods
In this paper we describe a case study comparing the effectiveness of three indirect knowledge elicitation techniques: repertory grid analysis, multi-dimensional scaling, and hierarchical clustering. These techniques are used in situations where it is difficult for the expert to articulate their knowledge in response to direct questions. The techniques were compared in terms of the number of attributes elicited, the ease with which these data were obtained, and the degree of post-analysis and interpretation required. The study was conducted in the domain of airline safety inspections and the objective was to define inspection indicators. The results of this study indicate that the repertory grid analysis method generates all of the attributes produced by the other two methods, that it is easy to apply in the field, and is useful without complex analysis and re-interpretation of the results.
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