A unicriterion analysis based on the PROMETHEE principles for multicriteria ordered clustering

被引：30
作者：
Boujelben, Mohamed Ayman [1 ]
机构：
[1] Univ Sfax, Inst Hautes Etudes Commerciales, MODEOR, Route Sidi Mansour,BP 967, Sfax 3018, Tunisia
来源：
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2017年 / 69卷
关键词：
Multicriteria ordered clustering; PROMETHEE; Supplier segmentation; PREFERENCE RELATIONS; CLASSIFICATION; ALGORITHM; MCDM; AHP;
D O I：
10.1016/j.omega.2016.08.007
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
We consider multicriteria clustering problems where the groups are defined by a total order. We assume that the pairwise comparisons between the alternatives are expressed by a valued preference model built by PROMETHEE. In order to analyze the characteristics of each cluster on the different criteria, we propose three concepts based on the PROMETHEE principles: the preference profile of a cluster, the similarity profile of a cluster and the inconsistency profile of a cluster. These notions are illustrated based on a real application on the supplier segmentation. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：126 / 140
页数：15
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