PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTION
A practical common weight Maximin approach with an improved discriminating power for technology selection is introduced. The proposed Maximin approach enables the evaluation of the relative efficiency of decision-making units (DMUs) with respect to multiple outputs and a single exact input with comm...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
El Oued University
2014-06-01
|
| Series: | Journal of Fundamental and Applied Sciences |
| Online Access: | http://old.jfas.info/index.php/JFAS/article/view/220/pdf |
| _version_ | 1818479576057118720 |
|---|---|
| author | A. Alinezhad M. Amini |
| author_facet | A. Alinezhad M. Amini |
| author_sort | A. Alinezhad |
| collection | DOAJ |
| description | A practical common weight Maximin approach with an improved discriminating power for technology selection is introduced. The proposed Maximin approach enables the evaluation of the relative efficiency of decision-making units (DMUs) with respect to multiple outputs and a single exact input with common weights. Its robustness and discriminating power are illustrated via a previously reported robot evaluation problem by comparing the ranking obtained by the proposed Maximin approach framework with that obtained by the DEA classic model (CCR model) and Minimax method (Karsak & Ahiska,2005). Because the number of efficient DMUs is reduced so discriminating power of our approach is higher than previous approaches and because Spearman’s rank correlation between the ranks obtained from our approach and Minimax approach is high therefore robustness of new approach is justified. |
| first_indexed | 2024-12-10T11:12:34Z |
| format | Article |
| id | doaj.art-f757a0678fdf4b18accd1d174b82a219 |
| institution | Directory Open Access Journal |
| issn | 1112-9867 |
| language | English |
| last_indexed | 2024-12-10T11:12:34Z |
| publishDate | 2014-06-01 |
| publisher | El Oued University |
| record_format | Article |
| series | Journal of Fundamental and Applied Sciences |
| spelling | doaj.art-f757a0678fdf4b18accd1d174b82a2192022-12-22T01:51:22ZengEl Oued UniversityJournal of Fundamental and Applied Sciences1112-98672014-06-01613147PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTIONA. Alinezhad M. AminiA practical common weight Maximin approach with an improved discriminating power for technology selection is introduced. The proposed Maximin approach enables the evaluation of the relative efficiency of decision-making units (DMUs) with respect to multiple outputs and a single exact input with common weights. Its robustness and discriminating power are illustrated via a previously reported robot evaluation problem by comparing the ranking obtained by the proposed Maximin approach framework with that obtained by the DEA classic model (CCR model) and Minimax method (Karsak & Ahiska,2005). Because the number of efficient DMUs is reduced so discriminating power of our approach is higher than previous approaches and because Spearman’s rank correlation between the ranks obtained from our approach and Minimax approach is high therefore robustness of new approach is justified.http://old.jfas.info/index.php/JFAS/article/view/220/pdf |
| spellingShingle | A. Alinezhad M. Amini PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTION Journal of Fundamental and Applied Sciences |
| title | PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTION |
| title_full | PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTION |
| title_fullStr | PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTION |
| title_full_unstemmed | PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTION |
| title_short | PRACTICAL COMMON WEIGHT MAXIMIN APPROACH FOR TECHNOLOGY SELECTION |
| title_sort | practical common weight maximin approach for technology selection |
| url | http://old.jfas.info/index.php/JFAS/article/view/220/pdf |
| work_keys_str_mv | AT aalinezhad practicalcommonweightmaximinapproachfortechnologyselection AT mamini practicalcommonweightmaximinapproachfortechnologyselection |