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首页> 外文期刊>Expert Systems >The impact of problem size on decision processes: an experimental investigation on very large choice problems with support of decision support systems
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The impact of problem size on decision processes: an experimental investigation on very large choice problems with support of decision support systems

机译：问题大小对决策过程的影响：在决策支持系统的支持下对非常大的选择问题进行的实验研究

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摘要

Choice problems as a class of decision problems have attracted great attention for the last couple of decades. Among the frameworks and supporting theories used in their study, two have had the greatest impact: bounded rationality and cost-benefit. Both theories could find support from past empirical studies under different conditions or problem environments. In the past studies, problem size has been shown to play an important role in decision-making. As problem size increases, a decision process may be detoured and the decision outcome may be different. In this paper we investigate the impact of problem size on three important aspects of the computer-aided decision process - strategy selection, decision time/effort, and decision quality - through very large choice problems.
机译：在过去的几十年中，选择问题作为一类决策问题引起了极大的关注。在他们的研究中使用的框架和支持理论中，有两个产生了最大的影响：有限的理性和成本效益。两种理论都可以从过去在不同条件或问题环境下的经验研究中获得支持。在过去的研究中，问题规模已显示出在决策中的重要作用。随着问题规模的增加，决策过程可能会绕道而行，决策结果可能会有所不同。在本文中，我们通过非常大的选择问题，研究了问题规模对计算机辅助决策过程的三个重要方面的影响-策略选择，决策时间/努力和决策质量。

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