Fuzzy Data Envelopment Analysis And Its Applications For Aggregating Preference Ranking
Over the past two decades, Data Envelopment Analysis (DEA) has appeared as an important tool in the field of efficiency measurement. DEA is used to compare Decision Making Units (DMUs) such as bank branches, hospitals, sales outlets, which consume one or more non-homogenous inputs to produce one...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.usm.my/42230/1/Madjid_Zerafat_Angiz_E_Langroudi24.pdf |
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| Summary: | Over the past two decades, Data Envelopment Analysis (DEA) has appeared
as an important tool in the field of efficiency measurement. DEA is used to compare
Decision Making Units (DMUs) such as bank branches, hospitals, sales outlets,
which consume one or more non-homogenous inputs to produce one or more nonhomogenous
outputs. The DMUs consume the same inputs and produce the same
outputs but generally at varying levels. One of the main characteristics of DEA is its
sensitivity to data. That is, inaccurate data may divert effectively the results of
efficiency analysis from its actual value. But accurate measurement in many real
world problems, due to either non-availability of sophisticated measurement tools or
qualitative nature of the phenomena may not be possible. This kind of information
can be represented as fuzzy numbers or linguistic terms. |
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