| Titre : | Vendor selection using fuzzy integration (2011) |
| Auteurs : | M. Ameer Ali, Auteur ; Nikhil C. Shil, Auteur ; M. S. Q. Zulkar Nine, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | International journal of management science and engineering management (Vol. 5 N° 5, Octobre 2010) |
| Article en page(s) : | pp.376-382 |
| Note générale : | Management |
| Langues : | Anglais |
| Tags : | AHP FCM Vendor selection Fuzzy clustering. |
| Résumé : | In the globalized world, the use of information technology becomes a commonplace in business and hence the competition among the business organizations becomes borderless, extensive and complicated to a greater extent. It is very intricate for the organizations to choose the best vendor from the massive market with enormous specifications. To overcome the challenges of satisfying current and attracting potential customers, it is mandatory for the organizations to choose the most effcient strategy for vendor selection. Analytic hierarchy process (AHP) is applied to solve this purpose even though it is ineffcient, inaccurate and time consuming when a huge number of vendors need to be judged with myriad number of criteria and sub-criteria. With the aim of selecting the best vendor effectively and efficiently, this paper has presented a newly vendor selection using fuzzy integration (VSFI) algorithm by integrating fuzzy c-means (FCM) algorithm with analytic hierarchy process (AHP). The experimental analysis proves the superior performance of the proposed VSFI algorithm over AHP when a huge number of vendors with their immense specification sheet are required to find out the best vendor within an astonishing short time. |
| DEWEY : | 658 |
| ISSN : | 1750-9653 |
| En ligne : | http://www.ijmsem.org/OnlineJournal.do/?155.html |
