Selecting window width in data envelopment analysis using a method based on analytical hierarchical process
Operational research is an application of mathematical, statistical, and computing techniques to solve management decision making problems. Data envelopment analysis (DEA) is a nonparametric method in operational research and economics for the approximation of production frontiers. It is used to emp...
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2012
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my-utm-ep.324932018-04-30T13:09:43Z Selecting window width in data envelopment analysis using a method based on analytical hierarchical process 2012-02 Maidamisa, Ahmad Aliyu Q Science (General) Operational research is an application of mathematical, statistical, and computing techniques to solve management decision making problems. Data envelopment analysis (DEA) is a nonparametric method in operational research and economics for the approximation of production frontiers. It is used to empirically evaluate a productive efficiency of decision making units (DMUs). Nonparametric approaches have the benefit of not presuming a peculiar functional pattern for the frontier; however, they do not provide a general relationship (equation) relating output and input. Window analysis is one of the extended DEA methods. The objective of this thesis is to formulate a methodology for the selection of window width in DEA window analysis. Based on this, the problem is defined as selecting a window width that is narrow. In order to accomplish this aim it will be a necessity to develop an abstract model in order to cover what can be fulfilled by empirical application and simulation studies. The proposed methodology is integrated into the framework of a conceptual model for the selection of window width that is structured by combining two multi-criteria decision making techniques. A new approach used in this thesis, has proven successful, and the result agreed with the preconceived idea. A hypothesis is tested, and it is proven that the newly developed model is independent of the empirical approach. A result has shown that the selected window width is robust to optimum efficiency assessment. This new method is superior than the empirical approach in performance evaluation. 2012-02 Thesis http://eprints.utm.my/id/eprint/32493/ http://eprints.utm.my/id/eprint/32493/5/AhmadAliyuMaidamisaPFS2012.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Science Faculty of Science |
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Universiti Teknologi Malaysia |
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UTM Institutional Repository |
| language |
English |
| topic |
Q Science (General) |
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Q Science (General) Maidamisa, Ahmad Aliyu Selecting window width in data envelopment analysis using a method based on analytical hierarchical process |
| description |
Operational research is an application of mathematical, statistical, and computing techniques to solve management decision making problems. Data envelopment analysis (DEA) is a nonparametric method in operational research and economics for the approximation of production frontiers. It is used to empirically evaluate a productive efficiency of decision making units (DMUs). Nonparametric approaches have the benefit of not presuming a peculiar functional pattern for the frontier; however, they do not provide a general relationship (equation) relating output and input. Window analysis is one of the extended DEA methods. The objective of this thesis is to formulate a methodology for the selection of window width in DEA window analysis. Based on this, the problem is defined as selecting a window width that is narrow. In order to accomplish this aim it will be a necessity to develop an abstract model in order to cover what can be fulfilled by empirical application and simulation studies. The proposed methodology is integrated into the framework of a conceptual model for the selection of window width that is structured by combining two multi-criteria decision making techniques. A new approach used in this thesis, has proven successful, and the result agreed with the preconceived idea. A hypothesis is tested, and it is proven that the newly developed model is independent of the empirical approach. A result has shown that the selected window width is robust to optimum efficiency assessment. This new method is superior than the empirical approach in performance evaluation. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Maidamisa, Ahmad Aliyu |
| author_facet |
Maidamisa, Ahmad Aliyu |
| author_sort |
Maidamisa, Ahmad Aliyu |
| title |
Selecting window width in data envelopment analysis using a method based on analytical hierarchical process |
| title_short |
Selecting window width in data envelopment analysis using a method based on analytical hierarchical process |
| title_full |
Selecting window width in data envelopment analysis using a method based on analytical hierarchical process |
| title_fullStr |
Selecting window width in data envelopment analysis using a method based on analytical hierarchical process |
| title_full_unstemmed |
Selecting window width in data envelopment analysis using a method based on analytical hierarchical process |
| title_sort |
selecting window width in data envelopment analysis using a method based on analytical hierarchical process |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Science |
| granting_department |
Faculty of Science |
| publishDate |
2012 |
| url |
http://eprints.utm.my/id/eprint/32493/5/AhmadAliyuMaidamisaPFS2012.pdf |
| _version_ |
1747816015492808704 |