A flexible approach to ranking with an application to MBA Programs

被引：20

作者：

Koksalan, Murat ^{[2
]}

Buyukbasaran, Tayyar ^{[2
,3
]}

Ozpeynirci, Oezguer ^{[2
,4
]}

Wallenius, Jyrki ^{[1
]}

机构：

[1] Helsinki Sch Econ, Dept Business Technol, Helsinki 00100, Finland

[2] Middle E Tech Univ, Dept Ind Engn, TR-06531 Ankara, Turkey

[3] CBRT Head Off, Res & Monetary Policy Dept, Ankara, Turkey

[4] Izmir Univ Econ, Dept Logist Management, TR-35330 Izmir, Turkey

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2010年 / 201卷 / 02期

基金：

芬兰科学院;

关键词：

Ranking; Sorting; Mixed Integer Programming; Multiple criteria; MBA Programs; DECISION-SUPPORT; PREFERENCE; ALTERNATIVES; ELICITATION; WEIGHTS;

D O I：

10.1016/j.ejor.2009.02.034

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

We develop a model for flexibly ranking multi-dimensional alternatives/units into preference classes via Mixed Integer Programming. We consider a linear aggregation model, but allow the criterion weights to vary within pre-specified ranges. This allows the individual alternatives/units to play to their strengths. We illustrate the use of the model by considering the Financial Times Global MBA Program rankings and discuss the implications. We argue that in many applications neither the data nor the weights or the aggregation model itself is precise enough to warrant a complete ranking. providing an argument for sorting or what we call flexible ranking. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：470 / 476

页数：7

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