Maximum appreciative cross-efficiency in DEA: A new ranking method

被引：66

作者：

Oukil, Amar ^{[1
]}

Amin, Gholam R. ^{[1
]}

机构：

[1] Sultan Qaboos Univ, Coll Econ & Polit Sci, Dept Operat Management & Business Stat, Muscat, Oman

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2015年 / 81卷

关键词：

Data envelopment analysis; Ranking; Cross-efficiency; Maximum appreciation; Preference voting; Ordered weighted averaging; DATA ENVELOPMENT ANALYSIS; DECISION-MAKING UNITS; OWA OPERATOR WEIGHTS; MINIMAX DISPARITY; MODEL; GAME; AGGREGATION; SELECTION; GOAL;

D O I：

10.1016/j.cie.2014.12.020

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Ranking decision making units (DMUs) is one of the most important applications of data envelopment analysis (DEA). In this paper, we exploit the power of individual appreciativeness in developing a methodology that combines cross-evaluation, preference voting and ordered weighted averaging (OWA). We show that each stage of the proposed methodology enhances discrimination among DMUs while offering more flexibility to the decision process. Our approach is illustrated through an example involving 15 baseball players. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：14 / 21

页数：8

共 49 条

[1] Review of ranking methods in the data envelopment analysis context [J].