Vendor selection using fuzzy C means algorithm and analytic hierarchy process
- Authors: Nine, M.S.Q.Z. , Khan, M.A.K. , Hoque, M.H. , Ali, Mortuza , Shil, N.C. , Sorwar, Golam
- Date: 2009
- Type: Text , Conference paper
- Relation: Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference
- Full Text: false
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- Description: Vendor selection is a strategic issue in supply chain management for any organization to identify the right supplier. Such selection in most cases is based on the analysis of some specific criteria. Most of the researches so far concentrate on multi-criteria decision-making analysis. Though many approaches have been proposed, analytic hierarchy process (AHP) is the most well known as it can deal with a very complex criteria structure. In AHP, the selected criteria are ranked and organized in a hierarchical order from generic to specific to formulate the problem. Though this order of ranking is acceptably logical, it incurs a huge computational complexity when a large number of alternatives are considered as the selection criteria. Moreover, the AHP may generate wrong selection due to computational error. To address these limitations, a novel model namely vendor selection using fuzzy c-means algorithm and analytic hierarchy process (VFA) is presented in this paper by integrating the fuzzy c-means clustering (FCM) algorithm with analytic hierarchy process (AHP). The outcome of the proposed VFA algorithm is compared with the basic AHP algorithm and VFA outperforms the basic AHP and reduces the computational complexity of AHP by a factor of 7.
Literature on image segmentation based on split - and - Merge techniques
- Authors: Faruquzzaman, A. B. M. , Paiker, Nafize , Arafat, Jahidul , Ali, Mortuza , Sorwar, Golam
- Date: 2008
- Type: Text , Conference proceedings , Conference paper
- Relation: ICITA 2008, Cairns, Qld., 23-26 June, ICITA, published in Proceedings of 5th International Conference on Information Technology and Application pp. 120-125.
- Full Text: false
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- Description: Image segmentation is a feverish issue due to drastically increasing the use of computer and the Internet. Various algorithms have been invented on this aspect. Among them, split-and-merge (SM) algorithm is highly lucrative now-a-days due to its simplicity and effectiveness in the sector of image processing. Numerous researchers have performed their research work on this algorithm to triumph over its drawbacks for its sustainable and competent implementation. This paper has consolidated the useful consideration and proposal of various researchers to formulate a strong base of knowledge for the future researcher. It has also tinted few unsettled drawbacks of SM algorithm which will open the casement of brainstorming as well as persuade them for future research on SM algorithm, thereby allow SM algorithm to attain a globally optimal algorithm for image segmentation.
- Description: 5th International Conference on Information Technology and Applications, ICITA 2008