Nguyen, D.D. and Ngo, L.T. and Pham, L.T. (2014) Interval type-2 fuzzy c-means clustering using intuitionistic fuzzy sets. In: 2013 3rd World Congress on Information and Communication Technologies, WICT 2013, 15 December 2013 through 18 December 2013.
Interval type-2 fuzzy c-means clustering using intuitionistic fuzzy sets.pdf
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Abstract
In this paper, intuitionistic interval type-2 fuzzy c-means clustering (InIT2FCM) method is proposed for the clustering problems. Intuitionistic fuzzy sets (IFS) and intuitionistic type-2 fuzzy sets (InIT2FS) were introduced with the aim to better handle the uncertainty. Utilizing the advantages of the IFS and InT2FS, we have combined them with fuzzy clustering algorithms to overcome some drawbacks of the 'conventional' FCM in handling uncertainty. The experiments were completed for different types of images which show the advantages of the proposed algorithms, especially with noisy images. © 2013 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/WICT.2013.7113152 |
| Uncontrolled Keywords: | Clustering algorithms; Fuzzy clustering; Fuzzy systems; Clustering problems; Interval type-2 fuzzy; Intuitionistic Fuzzy C-Means; Intuitionistic fuzzy sets; Noisy image; Type-2 fuzzy; Type-2 fuzzy set; Fuzzy sets |
| Additional Information: | Conference code: 112526. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9981 |
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