An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency
Personnel specifications have greatest impact on total efficiency. They can help us to design work environment and enhance total efficiency. Determination of critical personnel attributes is a useful procedure to overcome complication associated with multiple inputs and outputs. The proposed algorit...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2011
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0957417410006615 http://hdl.handle.net/20.500.11937/49767 |
| _version_ | 1848758310260441088 |
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| author | Azadeh, A. Saberi, Morteza Moghaddam, R. Javanmardi, L. |
| author_facet | Azadeh, A. Saberi, Morteza Moghaddam, R. Javanmardi, L. |
| author_sort | Azadeh, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Personnel specifications have greatest impact on total efficiency. They can help us to design work environment and enhance total efficiency. Determination of critical personnel attributes is a useful procedure to overcome complication associated with multiple inputs and outputs. The proposed algorithm assesses the impact of personnel efficiency attributes on total efficiency through Data Envelopment Analysis (DEA), Artificial Neural Network (ANN) and Rough Set Theory (RST). DEA has two roles in the proposed integrated algorithm of this study. It provides data ANN and finally it selects the best reduct through ANN result. Reduct is described as a minimum subset of attributes, completely discriminating all objects in a data set. The reduct selection is achieved by RST. ANN has two roles in the integrated algorithm. ANN results are basis for selecting the best reduct and it is also used for forecasting total efficiency. The proposed integrated approach is applied to an actual banking system and its superiorities and advantages are discussed. |
| first_indexed | 2025-11-14T09:41:57Z |
| format | Journal Article |
| id | curtin-20.500.11937-49767 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:41:57Z |
| publishDate | 2011 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-497672017-03-15T22:55:54Z An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency Azadeh, A. Saberi, Morteza Moghaddam, R. Javanmardi, L. Efficiency Personnel Rough Set Theory (RST) Artificial Neural Network (ANN) Data Envelopment Analysis (DEA) Cross Validation Test Technique (CVTT) Personnel specifications have greatest impact on total efficiency. They can help us to design work environment and enhance total efficiency. Determination of critical personnel attributes is a useful procedure to overcome complication associated with multiple inputs and outputs. The proposed algorithm assesses the impact of personnel efficiency attributes on total efficiency through Data Envelopment Analysis (DEA), Artificial Neural Network (ANN) and Rough Set Theory (RST). DEA has two roles in the proposed integrated algorithm of this study. It provides data ANN and finally it selects the best reduct through ANN result. Reduct is described as a minimum subset of attributes, completely discriminating all objects in a data set. The reduct selection is achieved by RST. ANN has two roles in the integrated algorithm. ANN results are basis for selecting the best reduct and it is also used for forecasting total efficiency. The proposed integrated approach is applied to an actual banking system and its superiorities and advantages are discussed. 2011 Journal Article http://hdl.handle.net/20.500.11937/49767 http://www.sciencedirect.com/science/article/pii/S0957417410006615 Elsevier restricted |
| spellingShingle | Efficiency Personnel Rough Set Theory (RST) Artificial Neural Network (ANN) Data Envelopment Analysis (DEA) Cross Validation Test Technique (CVTT) Azadeh, A. Saberi, Morteza Moghaddam, R. Javanmardi, L. An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency |
| title | An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency |
| title_full | An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency |
| title_fullStr | An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency |
| title_full_unstemmed | An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency |
| title_short | An integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency |
| title_sort | integrated data envelopment analysis – artificial neural network – rough set algorithm for assessment of personnel efficiency |
| topic | Efficiency Personnel Rough Set Theory (RST) Artificial Neural Network (ANN) Data Envelopment Analysis (DEA) Cross Validation Test Technique (CVTT) |
| url | http://www.sciencedirect.com/science/article/pii/S0957417410006615 http://hdl.handle.net/20.500.11937/49767 |