Integrating large positive and negative performance differences into multicriteria majority-rule sorting models

被引：8

作者：

Meyer, Patrick ^{[1
,2
]}

Olteanu, Alexandru-Liviu ^{[2
,3
]}

机构：

[1] Telecom Bretagne, Inst Mines Telecom, Technopole Brest Iroise,CS 83818, F-29238 Brest 3, France

[2] UMR CNRS 6285 Lab STICC, Brest, France

[3] Ecole Navale CC 600, Chair Naval Cyber Def, F-29240 Brest 9, France

来源：

COMPUTERS & OPERATIONS RESEARCH | 2017年 / 81卷

关键词：

Multi-criteria decision aiding; Sorting; Outranking relation; Veto; Dictator; Mixed-integer programming; ELECTRE-TRI METHOD; PREFERENCE; WEIGHTS;

D O I：

10.1016/j.cor.2016.11.007

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper considers the issue of how to include large positive and negative differences in multicriteria sorting models, based on the outranking paradigm. We show that various outranking relations can be constructed to take into account these out- and under-performances, before presenting mathematical programs to learn the preferential parameters of these models. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：216 / 230

页数：15

共 31 条

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