Artiruno:用于多标准决策和口头决策分析的免费软件工具

IF 1.9 Q3 MANAGEMENT
Kodi B. Arfer
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引用次数: 0

摘要

口头决策分析(VDA)是多标准决策分析方法的一个系列,它不需要代理人做出数字判断。虽然已开发出许多此类方法,但它们都有一个潜在的问题,即向代理提出的问题比必要的多得多,特别是在多层次方法中。此外,与不干预相比,VDA 是否能改善决策,还有待实证研究。我介绍了一种新的 VDA 方法,Artiruno,以及免费授权的 Python 实现。Artiruno 在访谈中期进行推理,因此只需代理最少的输入,同时使用多层次方案,允许代理在必要时提出复杂的问题。推理可以通过一个公理进行,该公理允许在标准组之间进行比较。Artiruno 在各种简单和复杂情况下的表现都可以通过自动软件测试来验证。在实证测试中,我进行了一项实验,让来自互联网受试者库的 107 名受试者考虑他们在生活中面临的一项重要决策,并随机分配他们使用 Artiruno 或不接受任何干预。事实证明,这些受试者大多能够使用Artiruno,而且他们认为Artiruno很有帮助,但Artiruno似乎对他们的决策或结果影响甚微。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artiruno: A free-software tool for multi-criteria decision-making with verbal decision analysis

Verbal decision analysis (VDA) is a family of methods for multi-criteria decision analysis that require no numerical judgements from the agent. Although many such methods have been developed, they share the potential issue of asking the agent many more questions than necessary, particularly under multilevel approaches. Furthermore, whether VDA improves decisions, compared to no intervention, has yet to be investigated empirically. I introduce a new VDA method, Artiruno, with a freely licensed implementation in Python. Artiruno makes inferences mid-interview so as to require minimal input from the agent, while using a multilevel scheme that allows it to ask complex questions when necessary. Inferences are facilitated by an axiom allowing comparisons to be partitioned across groups of criteria. Artiruno's performance in a variety of simple and complex scenarios can be verified with automated software tests. For an empirical test, I conducted an experiment in which 107 people from an Internet subject pool considered an important decision they faced in their own lives, and were randomly assigned to use Artiruno or to receive no intervention. These subjects proved mostly able to use Artiruno, and they found it helpful, but Artiruno seemed to have little influence on their decisions or outcomes.

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来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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