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Advancing Objective Decision-Making: An Enhanced EORS Method for Robust Solutions

delete2026-01-01
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PRE
AI
B
Bartosz Paradowski *
DOI：10.1007/978-3-032-13869-9_19delete
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摘要

摘要

En 中文
本研究提出了一种改进的多准则决策方法（MCDM）的穷尽目标排序解决方案（EORS）方法，集成了核密度估计（KDE）以提高方案评估的精度。与原始基于直方图的方法不同，基于KDE的变体提供了偏好分布的连续且更平滑的表示。通过一个理论案例研究的比较分析表明，改进的方法在保持与原始方法高度一致的同时，能产生更准确和可解释的结果。关键指标如置信度和相似系数证实了基于KDE的方法的增强稳健性。结果表明该方法在不确定性条件下支持客观决策方面具有更大潜力。
Keyword:
objective
decision-making
MCDA
MCDM

期刊

E
EMERGING CHALLENGES IN INTELLIGENT MANAGEMENT INFORMATION SYSTEMS, ECAI 2025-IMIS WORKSHOP, VOL 1
IF:
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论文数:
27
被引数:
0

机构

W
West Pomeranian University of Technology in Szczecin
学者数:
347
论文数: 178
被引数: 1
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