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Inverse Analysis from a CONDORCET Robustness Denotation of Valued Outranking Relations

机译:超越重要关系的CONDORCET稳健性表示的反分析

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摘要

In this article we develop an indirect approach for assessing criteria significance weights from the robustness of the significance that a decision maker acknowledges for his pairwise outranking statements in a Multiple Criteria Decision Aiding process. The main result consists in showing that with the help of a mixed integer linear programming model this kind of a priori knowledge is sufficient for estimating adequate numerical significance weights.
机译:在本文中,我们从决策者在多准则决策辅助过程中承认其成对排名表述的重要性的稳健性出发,开发了一种间接评估准则重要性权重的方法。主要结果在于表明,借助混合整数线性规划模型,这种先验知识足以估计足够的数值显着权重。

著录项

  • 来源
    《Algorithmic decision theory》|2009年|P.180-191|共12页
  • 会议地点 Venice(IT);Venice(IT)
  • 作者单位

    University of Luxembourg Faculty of Sciences, Technology, and Communication Computer Science and Communications Research Unit Interdisciplinary Lab for Intelligent and Adaptive Systems 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg;

    Institut Telecom, Telecom Bretagne UMR CNRS 3192 Lab-STICC Technopole Brest Iroise CS 83818 F-29238 Brest Cedex 3, France Universite europeenne de Bretagne;

    rnUniversity of Luxembourg Faculty of Sciences, Technology, and Communication Computer Science and Communications Research Unit Interdisciplinary Lab for Intelligent and Adaptive Systems 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

    inverse multiple criteria decision analysis; significance weights ellicitation; uncertainty; robustness;

    机译:逆多准则决策分析;重要性权重消除;不确定;健壮性;
  • 入库时间 2022-08-26 13:58:08

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