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Evaluation of Techniques for Structuring Multi-Criteria Decision Problems

机译:用于结构化多标准决策问题的技术评估

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This article seeks to overcome the problem of structuring multi-criteria decision problems in a scientifically valid way. For this purpose, we theoretically and empirically compare two techniques which can be used for the purpose of structuring problem domains: card sorting procedures and statistical web mining. Based on two empirical test cases we assess whether decision structuring is reliable regarding the applied structuring method and whether the resulting hierarchies are valid representations of the decision problem at hand. The results indicate that the two techniques lead to quite different goal-criteria hierarchies and that web mining does not produce useful problem representations. In contrast, card sorting seems to be a valid structuring technique. We explain these results by the fact that card sorting procedures are interpretive techniques which are able to deal with vague concepts (criteria) while web mining, as a purely statistical approach, does not work well with ambiguous concepts.
机译:本文旨在以科学有效的方式克服构建多标准决策问题的问题。为此目的,我们理论上和经验地比较了两种技术,该技术可用于结构域的结构域:卡分拣程序和统计网络挖掘。基于两个经验测试用例,我们评估决策结构是否可靠地是应用结构化方法以及所得层次结构是否是手头决策问题的有效表示。结果表明,这两种技术导致了相当不同的目标标准层次结构,并且该网站挖掘不会产生有用的问题表示。相比之下,卡分拣似乎是一种有效的结构化技术。我们通过卡片分拣程序是能够处理模糊概念(标准)的解释技术来解释这些结果,而在网上采矿的情况下,作为纯粹的统计方法,不适用于模棱两可的概念。

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