A multidimensional spatial model for preference representation in multi-criteria group decision aiding

被引：0
|
作者：
Khannoussi, Arwa [1 ]
Rolland, Antoine [2 ]
Velcin, Julien [2 ]
机构：
[1] CNRS, Lab STICC, IMT Atlantique, UMR 6285, F-29238 Brest, France
[2] Univ Lyon, Univ Lyon 2, ERIC, ERIC UR 3083, Lyon, France
来源：
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH | 2024年
关键词：
Multi-criteria decision aiding; Spatial model; Preference elicitation; Non-monotonic preferences; CRITERIA; DISAGGREGATION; TOPSIS;
D O I：
10.1007/s10288-024-00579-3
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
In this work we propose to use a multidimensional spatial model to represent preferences of a group of decision makers in multi-criteria decision aiding. The decision makers are represented in a shared space with the alternatives so that their positions are consistent with the preferences that they express on pairs of alternatives. We show how the parameters of this preference model can be learnt from holistic preference judgements, and discuss its various consequences and properties.
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页数：29
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