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

页码：126 / 140

页数：15

共 30 条

[1]

[Anonymous], 2013, Multi-Criteria Decision Analysis

[2] PROMETHEE: A comprehensive literature review on methodologies and applications [J].