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English(EN) Elicitation of the parameters of a multi-criteria sorting model

开发了多标准排序模型参数提取新程序

研究人员开发了一种新的参数提取程序,用于非补偿排序模型(NCS),这是一种多标准决策辅助模型。所提出的方法侧重于直接提取技术,包括基于图探索的提问算法,用于识别标准的充分联盟,以及一种基于二分的算法,用于确定区分两个类别的剖面。该研究还将NCS的通用性与MR-Sort进行了比较,MR-Sort是NCS的一个特定实例,其中联盟由加性权重表示。 AI

影响 这项研究可能为复杂场景下的决策工具带来更精细化的改进。

排序理由 该集群包含一篇学术论文,详细介绍了一种特定类型决策模型的新方法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开发了多标准排序模型参数提取新程序

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该集群包含一篇学术论文,详细介绍了一种特定类型决策模型的新方法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Eda Ersek Uyanik ·

    多标准排序模型参数的诱导

    arXiv:2611.13062v1 Announce Type: new Abstract: Multiple-criteria decision aiding (MCDA) proposes models and methods for different types of decision problems such as choice, ranking or sorting. Such models involve various parameters that must be elicited. In the elicitation proce…