Improvement Of Discrimination Power
And Weight Dispersion In Multi-Criteria
Data Envelopment Analysis

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Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis

Lack of discrimination power and poor weight dispersion remain major issues in Data Envelopment Analysis (DEA). Since the initial multiple criteria DEA (MCDEA) model developed in the late 1990s, only goal programming approaches; that is, the GPDEA-CCR and GPDEA-BCC were introduced for solving the...

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Bibliographic Details
Main Author:	Ghasemi, Mohammadreza
Format:	Thesis
Language:	English
Published:	2014
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/29018/ http://eprints.usm.my/29018/1/IMPROVEMENT_OF_DISCRIMINATION_POWER_AND_WEIGHT_DISPERSION_IN_MULTI-CRITERIA_DATA_ENVELOPMENT_ANALSIS.pdf

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