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
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
Journal title :
Computers and Operations Research
