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

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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Main Author: Ghasemi, Mohammadreza
Format: Thesis
Language:English
Published: 2014
Subjects:
QA1 Mathematics (General)
Online Access:http://eprints.usm.my/29018/1/IMPROVEMENT_OF_DISCRIMINATION_POWER_AND_WEIGHT_DISPERSION_IN_MULTI-CRITERIA_DATA_ENVELOPMENT_ANALSIS.pdf
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spelling my-usm-ep.290182019-04-12T05:26:04Z Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis 2014 Ghasemi, Mohammadreza QA1 Mathematics (General) 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 said problems in a multi-objective framework. Kekurangan keupayaan mendiskriminasi dan kelemahan pengagihan pemberat kekal sebagai isu utama dalam Analisis Penyampulan Data (DEA). Semenjak model DEA berbilang kriteria (MCDEA) pertama yang dibentuk pada akhir tahun 1990an, hanya pendekatan pengaturcaraangol; yakni, GPDEA-CCR dan GPDEA-BCC telah diperkenalkan bagi menyelesaikan masalah berkenaan dalam konteks berbilang kriteria. 2014 Thesis 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 application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA1 Mathematics (General)
spellingShingle QA1 Mathematics (General)
Ghasemi, Mohammadreza
Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis
description 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 said problems in a multi-objective framework. Kekurangan keupayaan mendiskriminasi dan kelemahan pengagihan pemberat kekal sebagai isu utama dalam Analisis Penyampulan Data (DEA). Semenjak model DEA berbilang kriteria (MCDEA) pertama yang dibentuk pada akhir tahun 1990an, hanya pendekatan pengaturcaraangol; yakni, GPDEA-CCR dan GPDEA-BCC telah diperkenalkan bagi menyelesaikan masalah berkenaan dalam konteks berbilang kriteria.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Ghasemi, Mohammadreza
author_facet Ghasemi, Mohammadreza
author_sort Ghasemi, Mohammadreza
title Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis
title_short Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis
title_full Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis
title_fullStr Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis
title_full_unstemmed Improvement Of Discrimination Power And Weight Dispersion In Multi-Criteria Data Envelopment Analysis
title_sort improvement of discrimination power and weight dispersion in multi-criteria data envelopment analysis
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Matematik
publishDate 2014
url http://eprints.usm.my/29018/1/IMPROVEMENT_OF_DISCRIMINATION_POWER_AND_WEIGHT_DISPERSION_IN_MULTI-CRITERIA_DATA_ENVELOPMENT_ANALSIS.pdf
_version_ 1747820062612389888

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