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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| Format: | Thesis |
| Language: | English |
| Published: |
2014
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| 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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