Title of article
Improving thediscriminationpowerandweightsdispersioninthedataenvelopment analysis
Author/Authors
Hasan Bal، نويسنده , , H. Hasan O¨ rkcu¨ ، نويسنده , , SalihCelebio glu، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2010
Pages
9
From page
99
To page
107
Abstract
Data envelopmentanalysis(DEA)hasbeenaverypopularmethodformeasuringandbenchmarking
relative efficiencyofpeerdecisionmakingunits(DMUs)withmultipleinputandoutputs.Besideofits
popularity, DEAhassomedrawbackssuchasunrealisticinput–outputweightsandlackofdiscrimination
among efficientDMUs.Inthisstudy,twonewmodelsbasedonamulti-criteriadataenvelopmentanalysis
(MCDEA) aredevelopedtomoderatethehomogeneityofweightsdistributionbyusinggoalprogramming
(GP). Thesegoalprogrammingdataenvelopmentanalysismodels,GPDEA-CCRandGPDEA-BCC,also
improve thediscriminationpowerofDEA.
Keywords
Goal programming , Discrimination power , Unit invariance , Data envelopment analysis
Journal title
Computers and Operations Research
Serial Year
2010
Journal title
Computers and Operations Research
Record number
927626
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