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

Amar Oukil; Gholam R. Amin

doi:10.1016/j.cie.2014.12.020

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

Amar Oukil, Gholam R. Amin^*

^*Corresponding author for this work

Operations Management & Business Statistics

Research output: Contribution to journal › Article › peer-review

70 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	14-21
Number of pages	8
Journal	Computers and Industrial Engineering
Volume	81
DOIs	https://doi.org/10.1016/j.cie.2014.12.020
Publication status	Published - Mar 2015

Keywords

Cross-efficiency
Data envelopment analysis
Maximum appreciation
Ordered weighted averaging
Preference voting
Ranking

ASJC Scopus subject areas

General Computer Science
General Engineering

Access to Document

10.1016/j.cie.2014.12.020

Cite this

@article{71c2f04cd9e24d3aa8e2d2a051af2427,

title = "Maximum appreciative cross-efficiency in DEA: A new ranking method",

abstract = "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.",

keywords = "Cross-efficiency, Data envelopment analysis, Maximum appreciation, Ordered weighted averaging, Preference voting, Ranking",

author = "Amar Oukil and Amin, {Gholam R.}",

note = "Publisher Copyright: {\textcopyright} 2014 Elsevier Ltd.",

year = "2015",

month = mar,

doi = "10.1016/j.cie.2014.12.020",

language = "English",

volume = "81",

pages = "14--21",

journal = "Computers and Industrial Engineering",

issn = "0360-8352",

publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Maximum appreciative cross-efficiency in DEA

T2 - A new ranking method

AU - Oukil, Amar

AU - Amin, Gholam R.

PY - 2015/3

Y1 - 2015/3

N2 - 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.

AB - 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.

KW - Cross-efficiency

KW - Data envelopment analysis

KW - Maximum appreciation

KW - Ordered weighted averaging

KW - Preference voting

KW - Ranking

UR - http://www.scopus.com/inward/record.url?scp=84920718686&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920718686&partnerID=8YFLogxK

U2 - 10.1016/j.cie.2014.12.020

DO - 10.1016/j.cie.2014.12.020

M3 - Article

AN - SCOPUS:84920718686

SN - 0360-8352

VL - 81

SP - 14

EP - 21

JO - Computers and Industrial Engineering

JF - Computers and Industrial Engineering

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this